From b2c45dec781e9c294e3ffcd752caa23c891ae0fc Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Tue, 17 Mar 2020 09:45:06 +0100 Subject: [PATCH 01/27] replace reference and imputation --- ...GRCh37_v1.4.cfg => impute_GRCh37_v1.6.cfg} | 9 ++ config/impute_GRCh38_v1.4.cfg | 138 ------------------ ...GRCh38_v1.5.cfg => impute_GRCh38_v1.6.cfg} | 9 ++ ...37_v1.4.cfg => references_GRCh37_v1.6.cfg} | 21 +-- config/references_GRCh38_v1.4.cfg | 50 ------- ...38_v1.5.cfg => references_GRCh38_v1.6.cfg} | 10 +- 6 files changed, 35 insertions(+), 202 deletions(-) rename config/{impute_GRCh37_v1.4.cfg => impute_GRCh37_v1.6.cfg} (90%) delete mode 100644 config/impute_GRCh38_v1.4.cfg rename config/{impute_GRCh38_v1.5.cfg => impute_GRCh38_v1.6.cfg} (91%) rename config/{references_GRCh37_v1.4.cfg => references_GRCh37_v1.6.cfg} (76%) delete mode 100644 config/references_GRCh38_v1.4.cfg rename config/{references_GRCh38_v1.5.cfg => references_GRCh38_v1.6.cfg} (89%) diff --git a/config/impute_GRCh37_v1.4.cfg b/config/impute_GRCh37_v1.6.cfg similarity index 90% rename from config/impute_GRCh37_v1.4.cfg rename to config/impute_GRCh37_v1.6.cfg index 19915b9..664b2e8 100644 --- a/config/impute_GRCh37_v1.4.cfg +++ b/config/impute_GRCh37_v1.6.cfg @@ -112,6 +112,15 @@ EncOCmycSig = True EncSegway = True dbscsnv-ada_score = True dbscsnv-rf_score = True +SpliceAI-acc-gain = True +SpliceAI-acc-loss = True +SpliceAI-don-gain = True +SpliceAI-don-loss = True +mmsplice-acceptorintron = True +mmsplice-acceptor = True +mmsplice-exon = True +mmsplice-donor = True +mmsplice-donorintron = True TFBS = True TFBSPeaks = True TFBSPeaksMax = True diff --git a/config/impute_GRCh38_v1.4.cfg b/config/impute_GRCh38_v1.4.cfg deleted file mode 100644 index 31c7ea4..0000000 --- a/config/impute_GRCh38_v1.4.cfg +++ /dev/null @@ -1,138 +0,0 @@ -[Tracks] -Chrom = Ignore -Pos = Ignore -Ref = True -Alt = True -Type = True -Length = True -isTv = True -AnnoType = Ignore -Consequence = True -ConsScore = Ignore -ConsDetail = Ignore -GC = True -CpG = True -priPhCons38 = True -mamPhCons38 = True -verPhCons38 = True -priPhyloP38 = True -mamPhyloP38 = True -verPhyloP38 = True -GerpN38 = True -GerpS = True -GerpRS = True -GerpRSpval = True -bStatistic = True -mirSVRs = True -mirSVRe = True -mirSVRa = True -targetScan = True -tOverlapMotifs = True -motifDist = True -motifECount = True -motifEName = Ignore -motifEHIPos = True -motifEScoreChng = True -minDistTSS = True -minDistTSE = True -GeneID = Ignore -FeatureID = Ignore -CCDS = Ignore -GeneName = Ignore -cDNApos = True -relcDNApos = True -CDSpos = True -relCDSpos = True -protpos = True -relProtpos = True -Domain = True -Dst2Splice = True -Dst2SplType = True -Exon = Ignore -Intron = Ignore -oAA = True -nAA = True -Grantham = True -PolyPhenCat = True -PolyPhenVal = True -SIFTcat = True -SIFTval = True -ensembleregulatoryfeature = True -dist2mutation = True -Freq1000bp = True -Rare1000bp = True -Sngl1000bp = True -Freq10000bp = True -Rare10000bp = True -Sngl10000bp = True -Freq100bp = True -Rare100bp = True -Sngl100bp = True -mw-relfreq1 = True -mw-relfreq2 = True -mw-relfreq3 = True -mw-relrare1 = True -mw-relrare2 = True -mw-relrare3 = True -mw-relsngl1 = True -mw-relsngl2 = True -mw-relsngl3 = True -chmm_e1 = True -chmm_e2 = True -chmm_e3 = True -chmm_e4 = True -chmm_e5 = True -chmm_e6 = True -chmm_e7 = True -chmm_e8 = True -chmm_e9 = True -chmm_e10 = True -chmm_e11 = True -chmm_e12 = True -chmm_e13 = True -chmm_e14 = True -chmm_e15 = True -chmm_e16 = True -chmm_e17 = True -chmm_e18 = True -chmm_e19 = True -chmm_e20 = True -chmm_e21 = True -chmm_e22 = True -chmm_e23 = True -chmm_e24 = True -chmm_e25 = True -encodeh3k4me1-sum = True -encodeh3k4me1-max = True -encodeh3k4me2-sum = True -encodeh3k4me2-max = True -encodeh3k4me3-sum = True -encodeh3k4me3-max = True -encodeh3k9ac-sum = True -encodeh3k9ac-max = True -encodeh3k9me3-sum = True -encodeh3k9me3-max = True -encodeh3k27ac-sum = True -encodeh3k27ac-max = True -encodeh3k27me3-sum = True -encodeh3k27me3-max = True -encodeh3k36me3-sum = True -encodeh3k36me3-max = True -encodeh3k79me2-sum = True -encodeh3k79me2-max = True -encodeh4k20me1-sum = True -encodeh4k20me1-max = True -encodeh2afz-sum = True -encodeh2afz-max = True -encodednase-sum = True -encodednase-max = True -encodetotalrna-sum = True -encodetotalrna-max = True -dbscsnv-ada_score = True -dbscsnv-rf_score = True -RemapOverlapTF-old = True -RemapOverlapCL-old = True -conseq-scores = True -splicetype2dst = True -Nuccomb = True -AAcomb = True diff --git a/config/impute_GRCh38_v1.5.cfg b/config/impute_GRCh38_v1.6.cfg similarity index 91% rename from config/impute_GRCh38_v1.5.cfg rename to config/impute_GRCh38_v1.6.cfg index 2633390..f2b8989 100644 --- a/config/impute_GRCh38_v1.5.cfg +++ b/config/impute_GRCh38_v1.6.cfg @@ -130,6 +130,15 @@ encodetotalrna-sum = True encodetotalrna-max = True dbscsnv-ada_score = True dbscsnv-rf_score = True +SpliceAI-acc-gain = True +SpliceAI-acc-loss = True +SpliceAI-don-gain = True +SpliceAI-don-loss = True +mmsplice-acceptorintron = True +mmsplice-acceptor = True +mmsplice-exon = True +mmsplice-donor = True +mmsplice-donorintron = True RemapOverlapTF = True RemapOverlapCL = True conseq-scores = True diff --git a/config/references_GRCh37_v1.4.cfg b/config/references_GRCh37_v1.6.cfg similarity index 76% rename from config/references_GRCh37_v1.4.cfg rename to config/references_GRCh37_v1.6.cfg index b8148a2..4933be5 100644 --- a/config/references_GRCh37_v1.4.cfg +++ b/config/references_GRCh37_v1.6.cfg @@ -1,17 +1,17 @@ [Path] roottype = var rootdir = CADD -annodir = /data/annotations/GRCh37_v1.4/ +annodir = /data/annotations/GRCh37_v1.6/ reference = /reference/reference.fa [Annotations] Length = True Consequence = True -oldGC_CpG = True +GC_CpG = True MotifScores = True VEPAnnotations = True -oldVariantPosition = True +VariantPosition = True Domain = True Exon/Dst2Splice = /reference/annotation_exons_v75.gtf.gz Transcript/MinDistTSX = /reference/annotation_transcripts_v75.tsv.gz @@ -23,7 +23,6 @@ verPhCons = /phastCons/vertebrates_nohuman.tsv.gz priPhyloP = /phyloP/primates_nohuman.tsv.gz mamPhyloP = /phyloP/placentalMammals_nohuman.tsv.gz verPhyloP = /phyloP/vertebrates_nohuman.tsv.gz -DNAstructure = /dnaStructure2/structures.tsv bStatistic = /bscores/bscores.tsv.gz targetScan = /mirTargetScan_v71/targetScan_hg19_v71.bg.gz mirSVR = /mirSVR/mirSVR.tsv.gz @@ -32,12 +31,12 @@ GERPelements = /gerp/gerp_elements.tsv.gz GERPscores = /gerp/gerp_scores.tsv.gz tfbs = /tfbs/encodeAwgTfbsUniform.tsv.gz motifs = /encodeMotifDB/motifs.tsv.gz -Segway = /segway/segway.tsv.gz -EncH3K27Ac = /H3K27Ac/tabix_files.lst -EncH3K4Me1 = /H3K4Me1/tabix_files.lst -EncH3K4Me3 = /H3K4Me3/tabix_files.lst -EncExp = /expression/tabix_files.lst -EncNucleo = /nucleosomes/tabix_files.lst +Segway = /segway/segway_zerobased.tsv.gz +EncH3K27Ac = /encode_GRCh37/encode_H3K27Ac.bg.gz +EncH3K4Me1 = /encode_GRCh37/encode_H3K4Me1.bg.gz +EncH3K4Me3 = /encode_GRCh37/encode_H3K4Me3.bg.gz +EncExp = /encode_GRCh37/encode_expression.bg.gz +EncNucleo = /encode_GRCh37/encode_nucleosomes.bg.gz OpenChrom = /openChromatin/tabix_files.lst Grantham = /grantham/grantham_matrix.tsv NeighboringMutations = /mutation_density/mutDensity_gnomAD/ALL.SNV.nextMutations.gnomad.2.0.1.bed.gz @@ -45,3 +44,5 @@ MutationDensity100 = /mutation_density/mutDensity_gnomAD/variant_density.gnomad. MutationDensity1000 = /mutation_density/mutDensity_gnomAD/variant_density.gnomad.2.0.1.1000.bg.gz MutationDensity10000 = /mutation_density/mutDensity_gnomAD/variant_density.gnomad.2.0.1.10000.bg.gz dbscSNV = /dbscSNV/dbscSNV1.1_GRCh37.txt.gz +MMSplice = True +SpliceAITabix = /spliceai/spliceai_scores.masked.all.hg19.tsv.gz diff --git a/config/references_GRCh38_v1.4.cfg b/config/references_GRCh38_v1.4.cfg deleted file mode 100644 index 1759529..0000000 --- a/config/references_GRCh38_v1.4.cfg +++ /dev/null @@ -1,50 +0,0 @@ -[Path] -roottype = var -rootdir = CADD -annodir = /data/annotations/GRCh38_v1.4/ - -reference = /reference/hg38.fa - -[Annotations] -Length = True -Consequence = True -oldGC_CpG = True -MotifScores = True -VEPAnnotations = True -oldVariantPosition = True -Domain = True -Exon/Dst2Splice = /exons/annotation_exons_GRCh38.90.gtf.gz -Transcript/MinDistTSX = /transcripts/annotation_transcripts_GRCh38.90.tsv.gz -SIFT = True -PolyPhen = True -DNAstructure = /dnaStructure2/structures.tsv -Grantham = /grantham/grantham_matrix.tsv -EnsembleRegulatoryFeature = /regulatoryBuilt/regulatory_features_GRCh38.bed.bgz -NeighboringMutations = /mutation_density/mutDensity_v1.3/ALL.SNV.nextMutations.bed.gz -MutationDensity100 = /mutation_density/mutDensity_v1.3/variant_density.MAF005.100.bg.gz -MutationDensity1000 = /mutation_density/mutDensity_v1.3/variant_density.MAF005.1000.bg.gz -MutationDensity10000 = /mutation_density/mutDensity_v1.3/variant_density.MAF005.10000.bg.gz -chromHMM_25state = /chromhmm/chromHMM_GRCh38_noBlueprint.bg.gz -GERPscores = /gerp/gerp_score_hg38.bg.gz -GERPelements = /gerp/gerp_elements_hg38.bg.gz -motifs = /encodeMotifDB/motifs_hg38.tsv.gz -EncodeH3K4me1FC = /encode/H3K4me1/H3K4me1_merged.bg.gz -EncodeH3K4me2FC = /encode/H3K4me2/H3K4me2_merged.bg.gz -EncodeH3K4me3FC = /encode/H3K4me3/H3K4me3_merged.bg.gz -EncodeH3K9acFC = /encode/H3K9ac/H3K9ac_merged.bg.gz -EncodeH3K9me3FC = /encode/H3K9me3/H3K9me3_merged.bg.gz -EncodeH3K27acFC = /encode/H3K27ac/H3K27ac_merged.bg.gz -EncodeH3K27me3FC = /encode/H3K27me3/H3K27me3_merged.bg.gz -EncodeH3K36me3FC = /encode/H3K36me3/H3K36me3_merged.bg.gz -EncodeH3K79me2FC = /encode/H3K79me2/H3K79me2_merged.bg.gz -EncodeH4K20me1FC = /encode/H4K20me1/H4K20me1_merged.bg.gz -EncodeH2AFZFC = /encode/H2AFZ/H2AFZ_merged.bg.gz -EncodeDNase = /encode/DNase-seq/DNase-seq_merged.bg.gz -EncodetotalRNA = /encode/totalRNA-seq/totalRNA-seq_merged.bg.gz -targetScan = /mirTargetScan_v71/targetScan_hg38_v71.bg.gz -mirSVR = /mirSVR/mirSVR_hg38liftover.tsv.gz -PhastCons = /phastCons/hg38.phastCons.bg.gz -PhyloP = /phyloP/hg38.phyloP.bg.gz -bStatistic = /bscores/bscores_hg38.bed.gz -dbscSNV = /dbscSNV/dbscSNV1.1_GRCh38.txt.gz -RemapOverlap = /Remap/ReMap2_overlap_hg38.bg.gz diff --git a/config/references_GRCh38_v1.5.cfg b/config/references_GRCh38_v1.6.cfg similarity index 89% rename from config/references_GRCh38_v1.5.cfg rename to config/references_GRCh38_v1.6.cfg index 1fffe82..52903ec 100644 --- a/config/references_GRCh38_v1.5.cfg +++ b/config/references_GRCh38_v1.6.cfg @@ -1,7 +1,7 @@ [Path] roottype = var rootdir = CADD -annodir = /data/annotations/GRCh38_v1.5/ +annodir = /data/annotations/GRCh38_v1.6/ reference = /reference/hg38.fa @@ -18,14 +18,14 @@ Transcript/MinDistTSX = /transcripts/annotation_transcripts_GRCh38.95.tsv.gz SIFT = True PolyPhen = True Grantham = /grantham/grantham_matrix.tsv -EnsembleRegulatoryFeature = /regulatoryBuilt/regulatory_features_GRCh38.95.bed.gz +EnsembleRegulatoryFeature = /regulatoryBuilt/regulatory_features_GRCh38.95_filtered.bed.gz NeighboringMutations = /mutation_density/mutDensity_v1.3/ALL.SNV.nextMutations.bed.gz MutationDensity100 = /mutation_density/mutDensity_v1.3/variant_density.MAF005.100.bg.gz MutationDensity1000 = /mutation_density/mutDensity_v1.3/variant_density.MAF005.1000.bg.gz MutationDensity10000 = /mutation_density/mutDensity_v1.3/variant_density.MAF005.10000.bg.gz chromHMM_25state = /chromhmm/chromHMM_GRCh38_noBlueprint.bg.gz -GERPscoresBed = /gerp/gerp_score_hg38.bg.gz -GERPelementsBed = /gerp/gerp_elements_hg38.bg.gz +GERPscoresBed = /gerp/gerp_score2_hg38_MAM.bg.gz +GERPelementsBed = /gerp/gerp2_elements_hg38_MAM.bg.gz motifs = /encodeMotifDB/motifs_hg38.tsv.gz EncodeH3K4me1FC = /encode/H3K4me1/H3K4me1_merged_short.bg.gz EncodeH3K4me2FC = /encode/H3K4me2/H3K4me2_merged_short.bg.gz @@ -47,3 +47,5 @@ PhyloP = /phyloP/hg38.phyloP.bg.gz bStatistic = /bscores/bscores_hg38.bed.gz dbscSNV = /dbscSNV/dbscSNV1.1_GRCh38.txt.gz RemapOverlap = /Remap/ReMap2_overlap_hg38.bg.gz +MMSplice = True +SpliceAITabix = /spliceai/spliceai_scores.masked.all.hg38.tsv.gz From 91c5dd0cb546b57a2c59a8e034aa7d1b42ae83b9 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Tue, 17 Mar 2020 09:50:58 +0100 Subject: [PATCH 02/27] replaced models with v1.6 --- data/models/GRCh38/CADDv1.4-GRCh38.mod | Bin 29976 -> 0 bytes data/models/GRCh38/CADDv1.5-GRCh38.mod | Bin 24822 -> 0 bytes data/models/GRCh38/CADDv1.6-GRCh38.mod | Bin 0 -> 28080 bytes .../conversionTable_CADDv1.4-GRCh38.txt | 11167 ---------------- .../conversionTable_CADDv1.5-GRCh38.txt | 11167 ---------------- .../conversionTable_CADDv1.6-GRCh38.txt | 11167 ++++++++++++++++ 6 files changed, 11167 insertions(+), 22334 deletions(-) delete mode 100644 data/models/GRCh38/CADDv1.4-GRCh38.mod delete mode 100644 data/models/GRCh38/CADDv1.5-GRCh38.mod create mode 100644 data/models/GRCh38/CADDv1.6-GRCh38.mod delete mode 100644 data/models/GRCh38/conversionTable_CADDv1.4-GRCh38.txt delete mode 100644 data/models/GRCh38/conversionTable_CADDv1.5-GRCh38.txt create mode 100644 data/models/GRCh38/conversionTable_CADDv1.6-GRCh38.txt diff --git a/data/models/GRCh38/CADDv1.4-GRCh38.mod b/data/models/GRCh38/CADDv1.4-GRCh38.mod deleted file mode 100644 index 9bb868e5cfdc5fe80fa3444ce24601f75a4bcd9b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 29976 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Date: Tue, 17 Mar 2020 10:16:48 +0100 Subject: [PATCH 03/27] updated altered Annotations --- src/scripts/lib/Annotations.py | 125 ++++++++++++--------------------- 1 file changed, 43 insertions(+), 82 deletions(-) diff --git a/src/scripts/lib/Annotations.py b/src/scripts/lib/Annotations.py index 59a1aa0..aec3f77 100644 --- a/src/scripts/lib/Annotations.py +++ b/src/scripts/lib/Annotations.py @@ -60,47 +60,6 @@ def minL(valuelist): if len(valuelist) > 0: return min(valuelist) else: return None - - -class EncodeAnnotation(FeatureAnnotation): - - def load(self, args): - self.tabixlist = [] - if os.path.exists(self.path): - cpath = "/".join(self.path.split('/')[:-1]) - infile = open(self.path) - for filename in infile: - fullname = cpath+'/'+filename.strip() - if os.path.exists(fullname): - self.tabixlist.append((pysam.TabixFile(fullname,'r'),None,None,None,None,None,None,"%s %s"%(self.name, fullname))) - else: - sys.stderr.write("Not found: %s\n"%fullname) - infile.close() - else: - sys.stderr.write("Index file not found: %s\n"%self.path) - self.continuous = args.continuous - - def _retrieve(self, res): - newlist = [] - values = [] - for encodeTabix in self.tabixlist: - encodeTabix = get_range_from_tabix(encodeTabix, - res['Chrom'], - res['Start'], - res['End'], - rangescore=True, - continuous=self.continuous) - encode_out = encodeTabix[6] - if encode_out: - values.append(maxL(map(lambda x:float(x[-1]),encode_out))) - newlist.append(encodeTabix) - self.tabixlist, self.score = newlist, maxL(values) - - def _get_score(self, res): - if not self.score is None: - res[self.name] = self.score # "%.2f" % self.score in old version - return res - class ScoreLowest(): def _get_score(self, res): if len(self.score) == 1: res[self.name] = self.score[0][-1] @@ -219,7 +178,7 @@ def process(self, res): ('CANONICAL_SPLICE', ['splice_acceptor_variant', 'splice_donor_variant'], '6'), ('SPLICE_SITE', ['splice_region_variant'], '5'), ('NONCODING_CHANGE', ['non_coding_transcript_exon_variant', 'mature_miRNA_variant'], '5'), - ('SYNONYMOUS', ['synonymous_variant', 'stop_retained_variant'], '5'), + ('SYNONYMOUS', ['synonymous_variant', 'stop_retained_variant', 'start_retained_variant'], '5'), ('REGULATORY', ['regulatory_region_variant', 'TF_binding_site_variant'], '4'), ('5PRIME_UTR', ['5_prime_UTR_variant'], '3'), ('3PRIME_UTR', ['3_prime_UTR_variant'], '2'), @@ -227,7 +186,7 @@ def process(self, res): ('NONCODING_CHANGE', ['non_coding_transcript_variant'], '5'), ('UPSTREAM', ['upstream_gene_variant'], '1'), ('DOWNSTREAM', ['downstream_gene_variant'], '1'), - ('UNKNOWN', ['coding_sequence_variant'], '5'), + ('SYNONYMOUS', ['coding_sequence_variant'], '5'), ('INTERGENIC', ['intergenic_variant'], '0'), ] class Consequence(Annotation): @@ -273,7 +232,7 @@ class GC_CpG(Annotation): def process(self, res): seq_len = float(len(res['Seq'])) num_n = res['Seq'].count('N') - res['GC'] = (res['Seq'].count('C') + res['Seq'].count('G') + num_n*0.41) / seq_len + res['GC'] = (res['Seq'].count('C') + res['Seq'].count('G') + num_n * 0.41) / seq_len res['CpG'] = (res['Seq'].count('CG') + num_n * 0.01) / (seq_len - 1) * 2 # reduce precision @@ -281,16 +240,6 @@ def process(self, res): res['CpG'] = ('%.3f' % res['CpG']).rstrip('0').rstrip('.') return res -class oldGC_CpG(GC_CpG): - name = 'oldGC_CpG' - - def process(self, res): - seq_len = float(len(res['Seq'])) - num_n = res['Seq'].count('N') - res['GC'] = (res['Seq'].count('C') + res['Seq'].count('G') + num_n*0.41) / seq_len - res['CpG'] = (res['Seq'].count('CG') + num_n * 0.01) / (seq_len - 1) * 2 - return res - class MotifScores(Annotation): name = 'MotifScores' features = ['motifECount','motifEName','motifEHIPos','motifEScoreChng'] @@ -354,21 +303,6 @@ def process(self, res): res[self.features[num*2+1]] = ('%.3f' % (float(pos) / length)).rstrip('0').rstrip('.') return res - -class oldVariantPosition(VariantPosition): - name = 'oldVariantPosition' - - def process(self, res): - for num, raw_pos in enumerate(['cDNA_position', 'CDS_position', 'Protein_position']): - if res[raw_pos] != '': - pos, length = res[raw_pos].split('/') - length = float(length) - pos = pos.replace('?-','').replace('-?','').split('-')[0] - if pos != '': - res[self.features[num*2]] = pos - res[self.features[num*2+1]] = float(pos) / length - return res - class Domain(Annotation): name = 'Domain' consequence = True @@ -572,6 +506,7 @@ class ChromHMM(TabixAnnotation, ScoreAveragePerFeature): 'cHmmEnhG','cHmmEnh','cHmmZnfRpts','cHmmHet','cHmmTssBiv', 'cHmmBivFlnk','cHmmEnhBiv','cHmmReprPC','cHmmReprPCWk','cHmmQuies'] rangescore = True + zerobased = True class ChromHMM_25state(TabixAnnotation, ScoreAveragePerFeature): name = 'chromHMM_25state' @@ -682,6 +617,7 @@ class Segway(TabixAnnotation): name = 'Segway' path = '/segway/segway.tsv.gz' rangescore = True + zerobased = True def _get_score(self, res): if len(self.score) == 1: @@ -692,33 +628,59 @@ def _get_score(self, res): res[self.name] = helper[0][-1] return res -class EncodeH3K27Ac(EncodeAnnotation): +class EncodeH3K27Ac(TabixAnnotation, ScoreHighest): name = 'EncH3K27Ac' - path = '/H3K27Ac/tabix_files.lst' + path = '/encode_GRCh37/encode_H3K27Ac.bg.gz' + rangescore = True + zerobased = True -class EncodeH3K4Me1(EncodeAnnotation): +class EncodeH3K4Me1(TabixAnnotation, ScoreHighest): name = 'EncH3K4Me1' - path = '/H3K4Me1/tabix_files.lst' + path = '/encode_GRCh37/encode_H3K4Me1.bg.gz' + rangescore = True + zerobased = True -class EncodeH3K4Me3(EncodeAnnotation): +class EncodeH3K4Me3(TabixAnnotation, ScoreHighest): name = 'EncH3K4Me3' - path = '/H3K4Me3/tabix_files.lst' + path = '/encode_GRCh37/encode_H3K4Me3.bg.gz' + rangescore = True + zerobased = True -class EncodeExp(EncodeAnnotation): +class EncodeExp(TabixAnnotation, ScoreHighest): name = 'EncExp' - path = '/expression/tabix_files.lst' + path = '/encode_GRCh37/encode_expression.bg.gz' + rangescore = True + zerobased = True -class EncodeNucleosome(EncodeAnnotation): +class EncodeNucleosome(TabixAnnotation, ScoreHighest): name = 'EncNucleo' - path = '/nucleosomes/tabix_files.lst' + path = '/encode_GRCh37/encode_nucleosomes.bg.gz' + rangescore = True + zerobased = True -class EncodeOpenChrom(EncodeAnnotation): +class EncodeOpenChrom(FeatureAnnotation): name = 'OpenChrom' path = '/openChromatin/tabix_files.lst' features = ['EncOCC','EncOCCombPVal','EncOCDNasePVal','EncOCFairePVal', 'EncOCpolIIPVal','EncOCctcfPVal','EncOCmycPVal','EncOCDNaseSig', 'EncOCFaireSig','EncOCpolIISig','EncOCctcfSig','EncOCmycSig'] + def load(self, args): + self.tabixlist = [] + if os.path.exists(self.path): + cpath = "/".join(self.path.split('/')[:-1]) + infile = open(self.path) + for filename in infile: + fullname = cpath+'/'+filename.strip() + if os.path.exists(fullname): + self.tabixlist.append((pysam.TabixFile(fullname,'r'),None,None,None,None,None,None,"%s %s"%(self.name, fullname))) + else: + sys.stderr.write("Not found: %s\n"%fullname) + infile.close() + else: + sys.stderr.write("Index file not found: %s\n"%self.path) + self.continuous = args.continuous + def _retrieve(self, res): #0: chrom chr1 varchar(255) values Name of the chromosome #1: chromStart 10166 int(10) unsigned range Start position in chromosome @@ -750,6 +712,7 @@ def _retrieve(self, res): res['Start'], res['End'], rangescore=True, + zerobased=True, continuous=self.continuous ) newlist.append(encodeTabix) @@ -945,12 +908,10 @@ class RemapOverlap(TabixAnnotation, ScoreHighestPerFeature): Length(), Consequence(), GC_CpG(), - oldGC_CpG(), MotifScores(), AminoAcids(), VEPAnnotations(), VariantPosition(), - oldVariantPosition(), Domain(), Dst2Splice(), MinDistTSX(), From a71aaf68fcbc819a73e2c5a11e5a01faee6d0b17 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Tue, 17 Mar 2020 10:19:50 +0100 Subject: [PATCH 04/27] added MMSplice and SpliceAI annotations --- src/scripts/lib/Annotations.py | 33 +++++++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/src/scripts/lib/Annotations.py b/src/scripts/lib/Annotations.py index aec3f77..f7da4d7 100644 --- a/src/scripts/lib/Annotations.py +++ b/src/scripts/lib/Annotations.py @@ -827,6 +827,37 @@ class Grantham(AACombination): path = '/grantham/grantham_matrix.tsv' consequence = True +class SpliceAITabix(TabixAnnotation): + name='SpliceAITabix' + features = ['SpliceAI-acc-gain', 'SpliceAI-acc-loss', 'SpliceAI-don-gain', 'SpliceAI-don-loss'] + consequence = True + + def _get_score(self, res): + for hit in self.score: + if hit[2] == res['Ref'] and hit[3] == res['Alt']: + for SAI in hit[4].split(','): + fields = SAI.split('|') + if res['GeneName'] == fields[0]: + for num, fea in enumerate(self.features): + res[fea] = fields[num+1] + break + return res + +class MMSplice(Annotation): + name = 'MMSplice' + features = ['MMSp_acceptorIntron', 'MMSp_acceptor', 'MMSp_exon', 'MMSp_donor', 'MMSp_donorIntron'] + consequence = True + + def process(self, res): + if 'MMSplice' in res['Info']: + for mmsp in res['Info']['MMSplice']: + fields = mmsp.split('|') + if fields[0] == res['GeneName']: + for i in range(5): + res[self.features[i]] = fields[i+1] + break + return res + class NeighboringMutations(TabixAnnotation): name = 'NeighboringMutations' # this annotation is replacement of the previous one (Dist2Mutation) features = ['Dist2Mutation'] @@ -957,6 +988,8 @@ class RemapOverlap(TabixAnnotation, ScoreHighestPerFeature): EncodeDNase(), EncodetotalRNA(), Grantham(), + SpliceAITabix(), + MMSplice(), NeighboringMutations(), MutationDensity100(), MutationDensity1000(), From a851f137eaed8713fb16906eb37637dec23d6478 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Tue, 17 Mar 2020 10:24:09 +0100 Subject: [PATCH 05/27] removed default annotation path --- src/scripts/lib/Annotations.py | 34 ---------------------------------- 1 file changed, 34 deletions(-) diff --git a/src/scripts/lib/Annotations.py b/src/scripts/lib/Annotations.py index f7da4d7..42a7522 100644 --- a/src/scripts/lib/Annotations.py +++ b/src/scripts/lib/Annotations.py @@ -332,7 +332,6 @@ def process(self, res): class Dst2Splice(TabixAnnotation): name = 'Exon/Dst2Splice' # the loaded file is exon tabix features = ['Dst2Splice','Dst2SplType'] - path = '/reference/annotation_exons_v75.gtf.gz' consequence = True def process(self, res): @@ -370,7 +369,6 @@ def process(self, res): class MinDistTSX(TabixAnnotation): name = 'Transcript/MinDistTSX' features = ['minDistTSS', 'minDistTSE'] - path = '/reference/annotation_transcripts_v75.tsv.gz' consequence = True def process(self, res): @@ -430,58 +428,47 @@ def process(self, res): class PriPhCons(TabixAnnotation, ScoreHighest): name = 'priPhCons' - path = '/phastCons/primates_nohuman.tsv.gz' class MamPhCons(TabixAnnotation, ScoreHighest): name = 'mamPhCons' - path = '/phastCons/placentalMammals_nohuman.tsv.gz' class VerPhCons(TabixAnnotation, ScoreHighest): name = 'verPhCons' - path = '/phastCons/vertebrates_nohuman.tsv.gz' class PhastCons(TabixAnnotation, ScoreHighestPerFeature): # summarises the previous three in one Annotation name = 'PhastCons' features = ['priPhCons', 'mamPhCons', 'verPhCons'] - path = '' rangescore = True zerobased = True class PriPhyloP(TabixAnnotation, ScoreHighest): name = 'priPhyloP' - path = '/phyloP/primates_nohuman.tsv.gz' class MamPhyloP(TabixAnnotation, ScoreHighest): name = 'mamPhyloP' - path = '/phyloP/placentalMammals_nohuman.tsv.gz' class VerPhyloP(TabixAnnotation, ScoreHighest): name = 'verPhyloP' - path = '/phyloP/vertebrates_nohuman.tsv.gz' class PhyloP(TabixAnnotation, ScoreHighestPerFeature): # summarises the previous three in one Annotation name = 'PhyloP' features = ['priPhyloP', 'mamPhyloP', 'verPhyloP'] - path = '' rangescore = True zerobased = True class Bscores(TabixAnnotation, ScoreLowest): name = 'bStatistic' - path = '/bscores/bscores.tsv.gz' multirange = True rangescore = True class MirTargetScan(TabixAnnotation, ScoreHighest): name = 'targetScan' - path = '/mirTargetScan/targetScanS.tsv.gz' multirange = True rangescore = True zerobased = True class MirSVR(TabixAnnotation): name = 'mirSVR' - path = '/mirSVR/mirSVR.tsv.gz' multirange = True rangescore = True features = ['mirSVR-Score','mirSVR-E','mirSVR-Aln'] @@ -501,7 +488,6 @@ def _get_score(self, res): class ChromHMM(TabixAnnotation, ScoreAveragePerFeature): name = 'chromHMM_Epigenomes' - path = '/chromHMM/roadMap_chromHMM.tsv.gz' features = ['cHmmTssA','cHmmTssAFlnk','cHmmTxFlnk','cHmmTx','cHmmTxWk', 'cHmmEnhG','cHmmEnh','cHmmZnfRpts','cHmmHet','cHmmTssBiv', 'cHmmBivFlnk','cHmmEnhBiv','cHmmReprPC','cHmmReprPCWk','cHmmQuies'] @@ -516,7 +502,6 @@ class ChromHMM_25state(TabixAnnotation, ScoreAveragePerFeature): class GERPelements(TabixAnnotation): name = 'GERPelements' - path = '/gerp/gerp_elements.tsv.gz' rangescore = True features = ['GerpRS', 'GerpRSpval'] @@ -533,12 +518,10 @@ def _get_score(self, res): class GERPelementsBed(GERPelements): name = 'GERPelementsBed' - path = '' zerobased = True class GERPscores(TabixAnnotation): name = 'GERPscores' - path = '/gerp/gerp_scores.tsv.gz' features = ['GerpN', 'GerpS'] def _get_score(self, res): @@ -556,13 +539,11 @@ def _get_score(self, res): class GERPscoresBed(GERPscores): name = 'GERPscoresBed' - path = '' rangescore = True zerobased = True class Tfbs(TabixAnnotation): name = 'tfbs' - path = '/tfbs/encodeAwgTfbsUniform.tsv.gz' features = ['TFBS', 'TFBSPeaks', 'TFBSPeaksMax'] def _get_score(self, res): @@ -576,7 +557,6 @@ def _get_score(self, res): class Motifs(TabixAnnotation): name = 'motifs' - path = '/encodeMotifDB/motifs.tsv.gz' features = ['tOverlapMotifs','motifDist'] def _get_score(self, res): @@ -615,7 +595,6 @@ def _get_score(self, res): segway_ranking = dict(zip(segway_order,range(len(segway_order)))) class Segway(TabixAnnotation): name = 'Segway' - path = '/segway/segway.tsv.gz' rangescore = True zerobased = True @@ -630,37 +609,31 @@ def _get_score(self, res): class EncodeH3K27Ac(TabixAnnotation, ScoreHighest): name = 'EncH3K27Ac' - path = '/encode_GRCh37/encode_H3K27Ac.bg.gz' rangescore = True zerobased = True class EncodeH3K4Me1(TabixAnnotation, ScoreHighest): name = 'EncH3K4Me1' - path = '/encode_GRCh37/encode_H3K4Me1.bg.gz' rangescore = True zerobased = True class EncodeH3K4Me3(TabixAnnotation, ScoreHighest): name = 'EncH3K4Me3' - path = '/encode_GRCh37/encode_H3K4Me3.bg.gz' rangescore = True zerobased = True class EncodeExp(TabixAnnotation, ScoreHighest): name = 'EncExp' - path = '/encode_GRCh37/encode_expression.bg.gz' rangescore = True zerobased = True class EncodeNucleosome(TabixAnnotation, ScoreHighest): name = 'EncNucleo' - path = '/encode_GRCh37/encode_nucleosomes.bg.gz' rangescore = True zerobased = True class EncodeOpenChrom(FeatureAnnotation): name = 'OpenChrom' - path = '/openChromatin/tabix_files.lst' features = ['EncOCC','EncOCCombPVal','EncOCDNasePVal','EncOCFairePVal', 'EncOCpolIIPVal','EncOCctcfPVal','EncOCmycPVal','EncOCDNaseSig', 'EncOCFaireSig','EncOCpolIISig','EncOCctcfSig','EncOCmycSig'] @@ -824,7 +797,6 @@ class EncodetotalRNA(TabixAnnotation, ScoreHighestPerFeature): class Grantham(AACombination): name = 'Grantham' - path = '/grantham/grantham_matrix.tsv' consequence = True class SpliceAITabix(TabixAnnotation): @@ -877,7 +849,6 @@ class MutationDensity100(TabixAnnotation, ScoreHighestPerFeature): features = ['Freq100bp', 'Rare100bp', 'Sngl100bp'] rangescore = True zerobased = True - path = '' datatype = int class MutationDensity1000(TabixAnnotation, ScoreHighestPerFeature): @@ -885,7 +856,6 @@ class MutationDensity1000(TabixAnnotation, ScoreHighestPerFeature): features = ['Freq1000bp', 'Rare1000bp', 'Sngl1000bp'] rangescore = True zerobased = True - path = '' datatype = int class MutationDensity10000(TabixAnnotation, ScoreHighestPerFeature): @@ -893,14 +863,12 @@ class MutationDensity10000(TabixAnnotation, ScoreHighestPerFeature): features = ['Freq10000bp', 'Rare10000bp', 'Sngl10000bp'] rangescore = True zerobased = True - path = '' datatype = int regElement_order = ['Promoter', 'TF binding site', 'Enhancer', 'Promoter Flanking Region', 'CTCF Binding Site', 'Open chromatin'] regElement_ranking = dict(zip(regElement_order,range(len(regElement_order)))) class RegulatoryBuiltElements(TabixAnnotation): name = 'EnsembleRegulatoryFeature' - path = '/regulatoryBuilt/regulatory_features.bed.bgz' rangescore = True zerobased = True @@ -916,7 +884,6 @@ def _get_score(self, res): class DbscSNV(TabixAnnotation): name = 'dbscSNV' features = ['dbscSNV-ada_score', 'dbscSNV-rf_score'] - path = '/dbscSNV/dbscSNV1.1_GRCh37.txt.gz' def _get_score(self, res): for hit in self.score: @@ -929,7 +896,6 @@ def _get_score(self, res): class RemapOverlap(TabixAnnotation, ScoreHighestPerFeature): name = 'RemapOverlap' features = ['RemapOverlapTF', 'RemapOverlapCL'] - path = '/Remap/ReMap2_overlap_hg19.bg.gz' rangescore = True zerobased = True datatype = int From 8770f87840ca2c7c99e0e7d3a2494fd5c72e1835 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Tue, 17 Mar 2020 10:33:07 +0100 Subject: [PATCH 06/27] updated tracks including mmsplice and spliceai --- src/scripts/lib/tracks.py | 84 ++++++++++++++++++++++++++++++++++++--- 1 file changed, 79 insertions(+), 5 deletions(-) diff --git a/src/scripts/lib/tracks.py b/src/scripts/lib/tracks.py index 4fd6289..a022642 100644 --- a/src/scripts/lib/tracks.py +++ b/src/scripts/lib/tracks.py @@ -86,8 +86,8 @@ 'consequence': { 'description': 'VEP consequence, priority selected by potential impact', 'type': list, - 'categories': ["3PRIME_UTR","5PRIME_UTR","DOWNSTREAM","INTERGENIC","INTRONIC","NONCODING_CHANGE","INFRAME","FRAME_SHIFT","NON_SYNONYMOUS","REGULATORY","CANONICAL_SPLICE","SPLICE_SITE","STOP_GAINED","STOP_LOST","SYNONYMOUS","UNKNOWN","UPSTREAM"], - 'na_value': 'UNKNOWN', + 'categories': ["3PRIME_UTR","5PRIME_UTR","DOWNSTREAM","INTERGENIC","INTRONIC","NONCODING_CHANGE","INFRAME","FRAME_SHIFT","NON_SYNONYMOUS","REGULATORY","CANONICAL_SPLICE","SPLICE_SITE","STOP_GAINED","STOP_LOST","SYNONYMOUS","UPSTREAM"], + 'na_value': 'INTERGENIC', 'hcdiff_transformation': lambda x: x if x not in ['STOP_LOST','STOP_GAINED'] else {'STOP_LOST':'STOP_GAINED','STOP_GAINED':'STOP_LOST'}[x] }, 'consscore': { @@ -869,6 +869,78 @@ 'indicator': True, 'scaling': 'quantile' }, +'spliceai-acc-gain': { + 'description': 'SpliceAI acceptor gain score', + 'type': float, + 'na_value': 0, + 'indicator': True, + 'dependencies': ['spliceai-acc-gain', 'spliceai-acc-loss'], + 'derive': lambda x: x['spliceai-acc-gain'], + 'hcdiff_derive': lambda x: x['spliceai-acc-loss'], + }, +'spliceai-acc-loss': { + 'description': 'SpliceAI acceptor loss score', + 'type': float, + 'na_value': 0, + 'shared_indicator': 'spliceai-acc-gain', + 'dependencies': ['spliceai-acc-loss', 'spliceai-acc-gain'], + 'derive': lambda x: x['spliceai-acc-loss'], + 'hcdiff_derive': lambda x: x['spliceai-acc-gain'], + }, +'spliceai-don-gain': { + 'description': 'SpliceAI donor gain score', + 'copy': 'spliceai-acc-loss', + 'dependencies': ['spliceai-don-gain', 'spliceai-don-loss'], + 'derive': lambda x: x['spliceai-don-gain'], + 'hcdiff_derive': lambda x: x['spliceai-don-loss'], + }, +'spliceai-don-loss': { + 'description': 'SpliceAI donor loss score', + 'copy': 'spliceai-acc-loss', + 'dependencies': ['spliceai-don-loss', 'spliceai-don-gain'], + 'derive': lambda x: x['spliceai-don-loss'], + 'hcdiff_derive': lambda x: x['spliceai-don-gain'], + }, +'mmsplice-acceptorintron': { + 'description': 'MMSplice acceptor intron score', + 'type': float, + 'na_value': 0, + 'dependencies': ['mmsp_acceptorintron'], + 'derive': lambda x: min(float(x['mmsp_acceptorintron']), 0), + 'hcdiff_derive': lambda x: min(float(x['mmsp_acceptorintron']) * -1, 0), + }, +'mmsplice-acceptor': { + 'description': 'MMSplice acceptor score', + 'type': float, + 'na_value': 0, + 'dependencies': ['mmsp_acceptor'], + 'derive': lambda x: min(float(x['mmsp_acceptor']), 0), + 'hcdiff_derive': lambda x: min(float(x['mmsp_acceptor']) * -1, 0), + }, +'mmsplice-exon': { + 'description': 'MMSplice exon score', + 'type': float, + 'na_value': 0, + 'dependencies': ['mmsp_exon'], + 'derive': lambda x: min(float(x['mmsp_exon']), 0), + 'hcdiff_derive': lambda x: min(float(x['mmsp_exon']) * -1, 0), + }, +'mmsplice-donorintron': { + 'description': 'MMSplice donor intron score', + 'type': float, + 'na_value': 0, + 'dependencies': ['mmsp_donorintron'], + 'derive': lambda x: min(float(x['mmsp_donorintron']), 0), + 'hcdiff_derive': lambda x: min(float(x['mmsp_donorintron']) * -1, 0), + }, +'mmsplice-donor': { + 'description': 'MMSplice donor score', + 'type': float, + 'na_value': 0, + 'dependencies': ['mmsp_donor'], + 'derive': lambda x: min(float(x['mmsp_donor']), 0), + 'hcdiff_derive': lambda x: min(float(x['mmsp_donor']) * -1, 0), + }, 'ensembleregulatoryfeature': { 'description': 'Matches in the Ensemble Regualtory Built (similar to annotype)', 'type': list, @@ -1049,9 +1121,11 @@ 'gerps', 'mamphcons', 'mamphylop', 'mindisttse', 'mindisttss', 'priphcons', 'priphylop', 'protpos', 'relcdnapos', 'relcdspos', 'relprotpos', 'verphcons', 'verphylop', 'dist2mutation', - 'freq100bp', 'rare100bp', 'sngl100bp', 'freq1000bp', - 'rare1000bp', 'sngl1000bp', 'freq10000bp', 'rare10000bp', - 'sngl10000bp', + 'freq100bp', 'rare100bp', 'sngl100bp', + 'freq1000bp', 'rare1000bp', 'sngl1000bp', + 'freq10000bp', 'rare10000bp', 'sngl10000bp', + 'spliceai-acc-gain', 'spliceai-acc-loss', 'spliceai-don-gain', 'spliceai-don-loss', + 'mmsplice-acceptorintron', 'mmsplice-acceptor', 'mmsplice-exon', 'mmsplice-donor', 'mmsplice-donorintron', ] }, 'splicetype2dst': { From 2550cb928e6246a95471be9ff7c0f7b9b5ae1ad4 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Tue, 17 Mar 2020 10:57:09 +0100 Subject: [PATCH 07/27] update copyright year --- LICENSE | 2 +- README.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/LICENSE b/LICENSE index 3799730..a0fd34a 100644 --- a/LICENSE +++ b/LICENSE @@ -1,5 +1,5 @@ Copyright (c) University of Washington, Hudson-Alpha Institute for -Biotechnology and Berlin Institute of Health 2013-2019. All rights reserved. +Biotechnology and Berlin Institute of Health 2013-2020. All rights reserved. Permission is hereby granted, to all non-commercial users and licensees of CADD (Combined Annotation Dependent Framework, licensed by the University of diff --git a/README.md b/README.md index 61ce79d..d8f9837 100644 --- a/README.md +++ b/README.md @@ -137,7 +137,7 @@ mv data/prescored/GRCh38 data/prescored/GRCh38_v1.4 ## Copyright Copyright (c) University of Washington, Hudson-Alpha Institute for -Biotechnology and Berlin Institute of Health 2013-2019. All rights reserved. +Biotechnology and Berlin Institute of Health 2013-2020. All rights reserved. Permission is hereby granted, to all non-commercial users and licensees of CADD (Combined Annotation Dependent Framework, licensed by the University of From c85be9d8fe7fe70df8c95599d4b645bd98597c99 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Tue, 24 Mar 2020 22:02:00 +0100 Subject: [PATCH 08/27] updated year in license --- data/models/GRCh37/LICENSE | 2 +- data/models/GRCh38/LICENSE | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/data/models/GRCh37/LICENSE b/data/models/GRCh37/LICENSE index 3799730..a0fd34a 100644 --- a/data/models/GRCh37/LICENSE +++ b/data/models/GRCh37/LICENSE @@ -1,5 +1,5 @@ Copyright (c) University of Washington, Hudson-Alpha Institute for -Biotechnology and Berlin Institute of Health 2013-2019. All rights reserved. +Biotechnology and Berlin Institute of Health 2013-2020. All rights reserved. Permission is hereby granted, to all non-commercial users and licensees of CADD (Combined Annotation Dependent Framework, licensed by the University of diff --git a/data/models/GRCh38/LICENSE b/data/models/GRCh38/LICENSE index 3799730..a0fd34a 100644 --- a/data/models/GRCh38/LICENSE +++ b/data/models/GRCh38/LICENSE @@ -1,5 +1,5 @@ Copyright (c) University of Washington, Hudson-Alpha Institute for -Biotechnology and Berlin Institute of Health 2013-2019. All rights reserved. +Biotechnology and Berlin Institute of Health 2013-2020. All rights reserved. Permission is hereby granted, to all non-commercial users and licensees of CADD (Combined Annotation Dependent Framework, licensed by the University of From 36558cc2d41e4f6def8049b2bf9621dd8fb40434 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Tue, 24 Mar 2020 22:03:01 +0100 Subject: [PATCH 09/27] changed GRCh37 model --- data/models/GRCh37/CADDv1.4-GRCh37.mod | Bin 30008 -> 0 bytes data/models/GRCh37/CADDv1.6-GRCh37.mod | Bin 0 -> 27926 bytes .../conversionTable_CADDv1.4-GRCh37.txt | 11167 ---------------- .../conversionTable_CADDv1.6-GRCh37.txt | 11167 ++++++++++++++++ 4 files changed, 11167 insertions(+), 11167 deletions(-) delete mode 100644 data/models/GRCh37/CADDv1.4-GRCh37.mod create mode 100644 data/models/GRCh37/CADDv1.6-GRCh37.mod delete mode 100644 data/models/GRCh37/conversionTable_CADDv1.4-GRCh37.txt create mode 100644 data/models/GRCh37/conversionTable_CADDv1.6-GRCh37.txt diff --git a/data/models/GRCh37/CADDv1.4-GRCh37.mod b/data/models/GRCh37/CADDv1.4-GRCh37.mod 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zHk|+}JXcDW=^Xm1|EuGMWm2tVdTmFOL%stqM9h(A^%;A7ibKbSf-Hz!Opjx5K zV|mWnAXuU4uB)9xzUf&d^;>m9V#(50s@9(Uliwulx}hfBQ8KHzx1Af$1r+UXJu!RC zS4F309X&!#xCYA%Y-jVRfp7V~n&D(nuxc~`=rCc{ifs=6*+h7zFz2o)vYnhmp;&Zc z-R0HA@dQu_6WTPQw3RP*cLX$JB%!}H-Y3iN*JVIW*bHh+6KHL)iZya_^esPtp|L&| zZ49K6+{P_-Fl9`19?FqndY;^obx%;E$%?Wbgs12-+n@f2J-78KcQiWMULwvPTxPh7 ze$;<^$-Fj07wswM7T_qKsO=c?^~Y3b+7MoNI@8p&6R&xm#_?q3?h9A{axbSG7GeU$ zf#ETGw%ZXL+I!1ks8z7ebW*iH2VPSZ-YaTW2<^?I#0kRgZV3!0K#ah=+PVdwY=f6R z;gWS~Vur*=tf(c3i0QS_c-A*CBZ~8!PWJ=*7F1`K2WLLtM7H;SGSJl3)#Q=Hi84`n z_BXAG%j>o Date: Tue, 24 Mar 2020 22:04:26 +0100 Subject: [PATCH 10/27] update annotateVEPvcf, including use of vcf info field and removale of trailing 0 --- src/scripts/annotateVEPvcf.py | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/src/scripts/annotateVEPvcf.py b/src/scripts/annotateVEPvcf.py index 3cad46f..95fa508 100644 --- a/src/scripts/annotateVEPvcf.py +++ b/src/scripts/annotateVEPvcf.py @@ -22,12 +22,6 @@ parser.add_argument("--continuous", dest="continuous", default=False, action="store_true", help="Input file is coordinate sorted and does not contain coordinate ranges -- not save for indels! (default OFF)") -#parser.add_argument("-v","--verbose", dest="verbose", -# default=False, action="store_true", -# help="Turn verbose messages on (def OFF)") -parser.add_argument("-f","--filterLowCov", dest="filterLowCov", - default=False,action="store_true", - help="Remove variants only identified from 1000 Genomes Exome sequencing (def OFF)") parser.add_argument("--choose", dest="choose", default=False, action="store_true", help="Choose a random line of the same hierarchy instead of all (def OFF)") @@ -166,6 +160,9 @@ sys.stderr.write('Encountered unknown chromosome name %s: %s\t%i\t%s\t%s\n' % (res['Chrom'],res['Chrom'], res['Pos'], res['Ref'], res['Alt'])) continue + # enable annotations to access the vcf info column + res['Info'] = record.INFO + # read those annotations, that are independent of the consequence for annotation in nocons_annotations: res = annotation.process(res) @@ -236,7 +233,9 @@ # write off to stream for res in res_list: - stdout.write('\t'.join([str(res[col]) if col in res else "NA" for col in output_columns]) + '\n') + res = {r: str(val) for r, val in res.items()} + res = {r: val.rstrip('0').rstrip('.') if '.0' in val else val for r, val in res.items()} + stdout.write('\t'.join([res[col] if col in res else "NA" for col in output_columns]) + '\n') # cleaning up genome_index.close() From 4dcc02a73e2bc3a50c3e77c300bf2d3d85b7cc01 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Tue, 24 Mar 2020 22:04:58 +0100 Subject: [PATCH 11/27] add MMSplice script --- src/scripts/MMSplice.py | 210 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 210 insertions(+) create mode 100644 src/scripts/MMSplice.py diff --git a/src/scripts/MMSplice.py b/src/scripts/MMSplice.py new file mode 100644 index 0000000..4c1b1e3 --- /dev/null +++ b/src/scripts/MMSplice.py @@ -0,0 +1,210 @@ +#!/bin/env python3 + +# Import +from tqdm import tqdm +from concise.preprocessing import encodeDNA +from mmsplice.vcf_dataloader import SplicingVCFDataloader +from mmsplice import MMSplice +from mmsplice.utils import logit, predict_deltaLogitPsi, \ + predict_pathogenicity, predict_splicing_efficiency +import pandas as pd +import numpy as np + +from argparse import ArgumentParser +import sys +import gzip + +def max_geneEff(df): + """ Summarize largest absolute effect per variant per gene across all affected exons. + Similar to mmsplice.utils.max_varEff + Args: + df: result of `predict_all_table` + """ + df_max = df.groupby(['ID', 'gene_name'], as_index=False).agg( + {'delta_logit_psi': lambda x: max(x, key=abs)}) + + df_max = df_max.merge(df, how='left', on=['ID', 'gene_name', 'delta_logit_psi']) + df_max = df_max.drop_duplicates(subset=['ID', 'gene_name', 'delta_logit_psi']) + return df_max + +def predict_batch_fast(model, dataloader, batch_size=512, progress=True, + splicing_efficiency=False): + """ + Return the prediction as a table + Args: + model: mmsplice model object. + dataloader: dataloader object. + progress: show progress bar. + splicing_efficiency: adds splicing_efficiency prediction as column + Returns: + iterator of pd.DataFrame of modular prediction, delta_logit_psi, + splicing_efficiency, pathogenicity. + """ + dataloader.encode = False + dt_iter = dataloader.batch_iter(batch_size=batch_size) + if progress: + dt_iter = tqdm(dt_iter) + + ref_cols = ['ref_acceptorIntron', 'ref_acceptor', + 'ref_exon', 'ref_donor', 'ref_donorIntron'] + alt_cols = ['alt_acceptorIntron', 'alt_acceptor', + 'alt_exon', 'alt_donor', 'alt_donorIntron'] + + cat_list = ['acceptor_intron', 'acceptor', 'exon', 'donor', 'donor_intron'] + cats = {'acceptor_intron': lambda x: model.acceptor_intronM.predict(x), + 'acceptor': lambda x: logit(model.acceptorM.predict(x)), + 'exon': lambda x: model.exonM.predict(x), + 'donor': lambda x: logit(model.donorM.predict(x)), + 'donor_intron': lambda x: model.donor_intronM.predict(x)} + + for batch in dt_iter: + refs,alts = {},{} + for cat, model_eval in cats.items(): + alterations = batch['inputs']['seq'][cat] != \ + batch['inputs']['mut_seq'][cat] + if np.any(alterations): + sequences = list(set([str(s) for s in list(batch['inputs']['seq'][cat][alterations]) + \ + list(batch['inputs']['mut_seq'][cat][alterations])])) + prediction = model_eval(encodeDNA(sequences)).flatten() + pred_dict = {s: p for s, p in zip(sequences, prediction)} + + refs[cat] = [pred_dict[batch['inputs']['seq'][cat][i]] \ + if a else 0 for i, a in enumerate(alterations)] + alts[cat] = [pred_dict[batch['inputs']['mut_seq'][cat][i]] \ + if a else 0 for i, a in enumerate(alterations)] + else: + refs[cat] = [0] * len(alterations) + alts[cat] = [0] * len(alterations) + X_ref = np.array([refs[cat] for cat in cat_list]).T + X_alt = np.array([alts[cat] for cat in cat_list]).T + ref_pred = pd.DataFrame(X_ref, columns=ref_cols) + alt_pred = pd.DataFrame(X_alt, columns=alt_cols) + + df = pd.DataFrame({ + 'ID': batch['metadata']['variant']['STR'], + 'exons': batch['metadata']['exon']['annotation'], + }) + for k in ['exon_id', 'gene_id', 'gene_name', 'transcript_id']: + if k in batch['metadata']['exon']: + df[k] = batch['metadata']['exon'][k] + + df['delta_logit_psi'] = predict_deltaLogitPsi(X_ref, X_alt) + df = pd.concat([df, ref_pred, alt_pred], axis=1) + + # pathogenicity does not work + #if pathogenicity: + # df['pathogenicity'] = predict_pathogenicity(X_ref, X_alt) + + if splicing_efficiency: + df['efficiency'] = predict_splicing_efficiency(X_ref, X_alt) + + yield df + +def predict_table_fast(model, + dataloader, + batch_size=512, + progress=True, + pathogenicity=False, + splicing_efficiency=False): + """ + Return the prediction as a table + Args: + model: mmsplice model object. + dataloader: dataloader object. + progress: show progress bar. + splicing_efficiency: adds splicing_efficiency prediction as column + Returns: + pd.DataFrame of modular prediction, delta_logit_psi, splicing_efficiency, + pathogenicity. + """ + return pd.concat(predict_batch_fast(model, dataloader, batch_size=batch_size, + progress=progress, + splicing_efficiency=splicing_efficiency)) + +parser = ArgumentParser(description="%prog name") +parser.add_argument("-o", "--output", dest="output", type=str, + help="Output vcf file {default stdout}") +parser.add_argument("-i", "--input", dest="input", type=str, required=True, + help="Input vcf.gz file") +parser.add_argument("-f", "--fasta", dest="fasta", type=str, required=True, + help="Genome fasta") +parser.add_argument("-g" "--gtf", dest="gtf", type=str, required=True, + help="GTF file with all exons (may be the pickled version output by the script)") +parser.add_argument("-d", "--detail", dest="detail", action='store_true', + help="Do not report submodel score differences but delta_logit_psi and ref and alt scores separately") + +args = parser.parse_args() + +dl = SplicingVCFDataloader(args.gtf, + args.fasta, + args.input) + +# Specify model +model = MMSplice() + +try: + # Do prediction + predictions = predict_table_fast(model, dl, batch_size=512) + + # Summerize with maximum effect size + predictionsMax = max_geneEff(predictions) + + pred_dict = {} + for p in predictionsMax[['ID', 'gene_name', 'delta_logit_psi', 'ref_acceptorIntron', 'ref_acceptor', 'ref_exon', 'ref_donor', 'ref_donorIntron', 'alt_acceptorIntron', 'alt_acceptor', 'alt_exon', 'alt_donor', 'alt_donorIntron']].values: + if p[0] in pred_dict: + pred_dict[p[0]].append(p[1:]) + else: + pred_dict[p[0]] = [p[1:]] +except ValueError: # it can happen that no variant is in a splice region an therefore recieves a score leading to an empty array + pred_dict = {} + +if args.output: + writer = gzip.open(args.output, 'wt') +else: + writer = sys.stdout + +# write prediction to stdout or file +with gzip.open(args.input, 'rt') as reader: + if args.detail: + for line in reader: + if line.startswith("#"): + if line.startswith('#C'): + writer.write('##INFO=\n') + + writer.write(line) + continue + fields = line.strip().split('\t') + var = "%s:%s:%s:['%s']" % (fields[0], fields[1], fields[3], fields[4]) + if var in pred_dict: + val_list = [] + for p in pred_dict[var]: + val_list.append('|'.join([p[0]] + ['%.3f' % p for p in p[1:]])) + val = ','.join(val_list) + if len(fields) >= 8: + fields[7] = fields[7] + ';MMSplice=' + val + else: + fields.extend(['.']*(7 - len(fields))) + fields.append('MMSplice=' + val) + writer.write('\t'.join(fields) + '\n') + else: + for line in reader: + if line.startswith("#"): + if line.startswith('#C'): + writer.write('##INFO=\n') + + writer.write(line) + continue + fields = line.strip().split('\t') + var = "%s:%s:%s:['%s']" % (fields[0], fields[1], fields[3], fields[4]) + if var in pred_dict: + val_list = [] + for p in pred_dict[var]: + scores = [p[i+7] - p[i+2] for i in range(5)] + val_list.append('|'.join([p[0]] + ['%.3f' % s for s in scores])) + val = ','.join(val_list) + if len(fields) >= 8: + fields[7] = fields[7] + ';MMSplice=' + val + else: + fields.extend(['.']*(7 - len(fields))) + fields.append('MMSplice=' + val) + writer.write('\t'.join(fields) + '\n') From ddaa2586a0f431dfbb5ae3e24af0953f40b0b4ab Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Thu, 26 Mar 2020 00:13:58 +0100 Subject: [PATCH 12/27] updated environments --- .gitignore | 2 + .../environment.yml | 172 ++++++++---------- envs/environment3.yml | 131 +++++++++++++ envs/environment3_minimal.yml | 21 +++ envs/environment_minimal.yml | 12 ++ src/environment.yml | 70 ------- 6 files changed, 244 insertions(+), 164 deletions(-) rename src/environment_v1.5.yml => envs/environment.yml (72%) create mode 100644 envs/environment3.yml create mode 100644 envs/environment3_minimal.yml create mode 100644 envs/environment_minimal.yml delete mode 100644 src/environment.yml diff --git a/.gitignore b/.gitignore index e240684..2b6d4cb 100644 --- a/.gitignore +++ b/.gitignore @@ -12,12 +12,14 @@ config/* # snakemake .snakemake* +envs/* # data files *.gz *.vcf *.tsv *.zip +*.tbi # temp files .* diff --git a/src/environment_v1.5.yml b/envs/environment.yml similarity index 72% rename from src/environment_v1.5.yml rename to envs/environment.yml index 65de1c2..7105173 100644 --- a/src/environment_v1.5.yml +++ b/envs/environment.yml @@ -1,66 +1,65 @@ -name: cadd-env-v1.5 +name: cadd channels: - - https://repo.continuum.io/pkgs/free - bioconda - r - defaults - conda-forge dependencies: - _libgcc_mutex=0.1=main - - bcftools=1.9=h47928c2_2 + - bcftools=1.9=h68d8f2e_9 - blas=1.1=openblas - - bzip2=1.0.8=h516909a_0 - - ca-certificates=2019.6.16=hecc5488_0 - - cairo=1.16.0=hfb77d84_1002 - - certifi=2019.6.16=py27_1 - - clustalw=2.1=h6bb024c_4 - - curl=7.61.0=h93b3f91_2 + - bzip2=1.0.8=h7b6447c_0 + - ca-certificates=2020.1.1=0 + - cairo=1.14.12=h8948797_3 + - certifi=2019.11.28=py27_0 + - clustalw=2.1=hc9558a2_5 + - curl=7.69.1=hbc83047_0 - ensembl-vep=95.1=pl526ha4d7672_0 - - expat=2.2.5=he1b5a44_1003 - - fontconfig=2.13.1=h86ecdb6_1001 - - freetype=2.10.0=he983fc9_1 - - fribidi=1.0.5=h516909a_1002 - - gettext=0.19.8.1=hc5be6a0_1002 - - giflib=5.1.9=h516909a_0 - - glib=2.58.3=h6f030ca_1002 - - graphite2=1.3.13=hf484d3e_1000 - - graphviz=2.40.1=h5933667_1 - - harfbuzz=2.4.0=h9f30f68_3 - - htslib=1.9=h47928c2_5 - - icu=64.2=he1b5a44_1 - - jpeg=9c=h14c3975_1001 - - krb5=1.14.6=0 + - expat=2.2.6=he6710b0_0 + - fontconfig=2.13.0=h9420a91_0 + - freetype=2.9.1=h8a8886c_1 + - fribidi=1.0.5=h7b6447c_0 + - giflib=5.1.4=h14c3975_1 + - glib=2.63.1=h5a9c865_0 + - graphite2=1.3.13=h23475e2_0 + - graphviz=2.40.1=h21bd128_2 + - gsl=2.5=h294904e_1 + - harfbuzz=1.8.8=hffaf4a1_0 + - htslib=1.9=h4da6232_3 + - icu=58.2=h9c2bf20_1 + - jpeg=9b=h024ee3a_2 + - krb5=1.17.1=h173b8e3_0 + - libblas=3.8.0=11_openblas + - libcblas=3.8.0=11_openblas + - libcurl=7.69.1=h20c2e04_0 - libdb=6.1.26=0 - - libdeflate=1.0=h14c3975_1 - - libffi=3.2.1=he1b5a44_1006 + - libdeflate=1.2=h516909a_1 + - libedit=3.1.20181209=hc058e9b_0 + - libffi=3.2.1=hd88cf55_4 - libgcc=7.2.0=h69d50b8_2 - libgcc-ng=9.1.0=hdf63c60_0 - - libgd=2.2.5=h82918c6_1006 - - libgfortran=3.0.0=1 + - libgd=2.2.5=h0db58fd_3 - libgfortran-ng=7.3.0=hdf63c60_0 - - libiconv=1.15=h516909a_1005 - - libopenblas=0.3.6=h5a2b251_1 - - libpng=1.6.37=hed695b0_0 - - libssh2=1.8.0=h1ad7b7a_1003 + - libopenblas=0.3.6=h5a2b251_2 + - libpng=1.6.37=hbc83047_0 + - libssh2=1.9.0=h1ba5d50_1 - libstdcxx-ng=9.1.0=hdf63c60_0 - - libtiff=4.0.10=h57b8799_1003 - - libtool=2.4.6=h14c3975_1002 - - libuuid=2.32.1=h14c3975_1000 - - libwebp=1.0.2=h576950b_1 - - libxcb=1.13=h14c3975_1002 - - libxml2=2.9.9=hee79883_5 - - libxslt=1.1.32=h31b3aaa_1004 - - lz4-c=1.8.3=he1b5a44_1001 + - libtiff=4.1.0=h2733197_0 + - libuuid=1.0.3=h1bed415_2 + - libwebp=1.0.1=h8e7db2f_0 + - libxcb=1.13=h1bed415_1 + - libxml2=2.9.9=hea5a465_1 + - libxslt=1.1.33=h7d1a2b0_0 - mysql-connector-c=6.1.6=2 - - ncurses=6.1=hf484d3e_1002 - - numpy=1.14.2=py27_blas_openblas_200 - - openblas=0.2.20=8 - - openssl=1.0.2r=h14c3975_0 - - paml=4.9=h14c3975_4 - - pandas=0.20.3=py27_1 - - pango=1.42.4=ha030887_1 - - pcre=8.41=hf484d3e_1003 - - perl=5.26.2=h516909a_1006 + - ncurses=6.2=he6710b0_0 + - numpy=1.15.4=py27_blas_openblash1522bff_1000 + - openblas=0.3.3=h9ac9557_1001 + - openssl=1.1.1e=h7b6447c_0 + - paml=4.9=h516909a_5 + - pandas=0.22.0=py27hf484d3e_0 + - pango=1.42.4=h049681c_0 + - pcre=8.43=he6710b0_0 + - perl=5.26.2=h14c3975_0 - perl-aceperl=1.92=pl526_2 - perl-algorithm-diff=1.1903=pl526_2 - perl-algorithm-munkres=0.08=pl526_1 @@ -70,18 +69,18 @@ dependencies: - perl-array-compare=3.0.1=pl526_1 - perl-autoloader=5.74=pl526_2 - perl-base=2.23=pl526_1 - - perl-bio-asn1-entrezgene=1.73=pl526_0 - - perl-bio-coordinate=1.007001=pl526_0 - - perl-bio-db-hts=2.7=pl526h2f8a211_3 - - perl-bio-featureio=1.6.905=pl526_1 - - perl-bio-phylo=0.58=pl526_1 + - perl-bio-asn1-entrezgene=1.73=pl526_1 + - perl-bio-coordinate=1.007001=pl526_1 + - perl-bio-db-hts=3.01=pl526hed50d52_0 + - perl-bio-featureio=1.6.905=pl526_2 + - perl-bio-phylo=0.58=pl526_2 - perl-bio-samtools=1.43=pl526h1341992_1 - - perl-bio-tools-phylo-paml=1.7.3=pl526_0 - - perl-bio-tools-run-alignment-clustalw=1.7.4=pl526_0 - - perl-bio-tools-run-alignment-tcoffee=1.7.4=pl526_1 - - perl-bioperl=1.7.2=pl526_10 - - perl-bioperl-core=1.007002=pl526_1 - - perl-bioperl-run=1.007002=pl526_3 + - perl-bio-tools-phylo-paml=1.7.3=pl526_1 + - perl-bio-tools-run-alignment-clustalw=1.7.4=pl526_1 + - perl-bio-tools-run-alignment-tcoffee=1.7.4=pl526_2 + - perl-bioperl=1.7.2=pl526_11 + - perl-bioperl-core=1.007002=pl526_2 + - perl-bioperl-run=1.007002=pl526_4 - perl-business-isbn=3.004=pl526_0 - perl-business-isbn-data=20140910.003=pl526_0 - perl-cache-cache=1.08=pl526_0 @@ -193,7 +192,7 @@ dependencies: - perl-mozilla-ca=20180117=pl526_1 - perl-mro-compat=0.13=pl526_0 - perl-net-http=6.19=pl526_0 - - perl-net-ssleay=1.85=pl526h9dad42d_0 + - perl-net-ssleay=1.88=pl526h90d6eec_0 - perl-ntlm=1.09=pl526_4 - perl-ole-storage_lite=0.19=pl526_3 - perl-package-deprecationmanager=0.17=pl526_0 @@ -274,40 +273,25 @@ dependencies: - perl-xml-xpathengine=0.14=pl526_2 - perl-xsloader=0.24=pl526_0 - perl-yaml=1.29=pl526_0 - - pip=19.2.3=py27_0 - - pixman=0.38.0=h516909a_1003 - - pthread-stubs=0.4=h14c3975_1001 - - pysam=0.15.2=py27h0380709_0 - - python=2.7.13=0 - - python-dateutil=2.8.0=py_0 - - pytz=2019.2=py_0 + - pip=19.3.1=py27_0 + - pixman=0.38.0=h7b6447c_0 + - pysam=0.11.2.2=py27_1 + - python=2.7.17=h9bab390_0 + - python-dateutil=2.8.1=py_0 + - pytz=2019.3=py_0 - pyvcf=0.6.8=py27_0 - - readline=6.2=2 - - samtools=1.9=h91753b0_5 - - scikit-learn=0.20.1=py27h22eb022_0 - - scipy=1.0.1=py27_blas_openblas_200 - - setuptools=41.2.0=py27_0 - - six=1.12.0=py27_1000 - - sqlite=3.13.0=1 - - t_coffee=11.0.8=py27h075ee95_7 + - readline=7.0=h7b6447c_5 + - samtools=1.7=1 + - scikit-learn=0.20.4=py27_blas_openblashebff5e3_0 + - scipy=1.2.1=py27_blas_openblash1522bff_0 + - setuptools=44.0.0=py27_0 + - six=1.14.0=py_1 + - sqlite=3.31.1=h7b6447c_0 + - t_coffee=11.0.8=py27hea885bf_8 - tidyp=1.04=1 - - tk=8.5.18=0 - - unzip=6.0=h516909a_0 + - tk=8.6.8=hbc83047_0 + - unzip=6.0=h611a1e1_0 - wheel=0.33.6=py27_0 - - xorg-kbproto=1.0.7=h14c3975_1002 - - xorg-libice=1.0.10=h516909a_0 - - xorg-libsm=1.2.3=h84519dc_1000 - - xorg-libx11=1.6.8=h516909a_0 - - xorg-libxau=1.0.9=h14c3975_0 - - xorg-libxdmcp=1.1.3=h516909a_0 - - xorg-libxext=1.3.4=h516909a_0 - - xorg-libxpm=3.5.12=h14c3975_1002 - - xorg-libxrender=0.9.10=h516909a_1002 - - xorg-libxt=1.1.5=h516909a_1003 - - xorg-renderproto=0.11.1=h14c3975_1002 - - xorg-xextproto=7.3.0=h14c3975_1002 - - xorg-xproto=7.0.31=h14c3975_1007 - - xz=5.2.4=h14c3975_1001 - - zlib=1.2.11=h516909a_1005 - - zstd=1.4.0=h3b9ef0a_0 - + - xz=5.2.4=h14c3975_4 + - zlib=1.2.11=h7b6447c_3 + - zstd=1.3.7=h0b5b093_0 diff --git a/envs/environment3.yml b/envs/environment3.yml new file mode 100644 index 0000000..627464e --- /dev/null +++ b/envs/environment3.yml @@ -0,0 +1,131 @@ +name: MMSplice +channels: + - bioconda + - r + - defaults + - conda-forge +dependencies: + - _libgcc_mutex=0.1=conda_forge + - _openmp_mutex=4.5=0_gnu + - absl-py=0.9.0=py36_0 + - astor=0.7.1=py_0 + - binutils_impl_linux-64=2.34=h53a641e_0 + - binutils_linux-64=2.34=hc952b39_18 + - blas=1.1=openblas + - bzip2=1.0.8=h516909a_2 + - c-ares=1.15.0=h516909a_1001 + - ca-certificates=2019.11.28=hecc5488_0 + - certifi=2019.11.28=py36h9f0ad1d_1 + - click=7.1.1=pyh8c360ce_0 + - coloredlogs=14.0=py36h9f0ad1d_1 + - curl=7.68.0=hf8cf82a_0 + - cython=0.29.13=py36he1b5a44_0 + - cyvcf2=0.11.6=py36hce88a48_0 + - gast=0.3.3=py_0 + - gcc_impl_linux-64=7.3.0=hd420e75_5 + - gcc_linux-64=7.3.0=h553295d_18 + - grpcio=1.23.0=py36h769ab6c_1 + - gxx_impl_linux-64=7.3.0=hdf63c60_5 + - gxx_linux-64=7.3.0=h553295d_18 + - h5py=2.10.0=nompi_py36h513d04c_102 + - hdf5=1.10.5=nompi_h3c11f04_1104 + - htslib=1.9=h4da6232_3 + - humanfriendly=8.1=py36h9f0ad1d_1 + - keras=2.2.4=py36_1 + - keras-applications=1.0.8=py_1 + - keras-preprocessing=1.1.0=py_0 + - krb5=1.16.4=h2fd8d38_0 + - ld_impl_linux-64=2.34=h53a641e_0 + - libcurl=7.68.0=hda55be3_0 + - libdeflate=1.5=h516909a_0 + - libedit=3.1.20170329=hf8c457e_1001 + - libffi=3.2.1=he1b5a44_1007 + - libgcc=7.2.0=h69d50b8_2 + - libgcc-ng=9.2.0=h24d8f2e_2 + - libgfortran-ng=7.3.0=hdf63c60_5 + - libgomp=9.2.0=h24d8f2e_2 + - libgpuarray=0.7.6=h14c3975_1003 + - libopenblas=0.3.6=h5a2b251_2 + - libprotobuf=3.11.3=h8b12597_0 + - libssh2=1.8.2=h22169c7_2 + - libstdcxx-ng=9.2.0=hdf63c60_2 + - mako=1.1.0=py_0 + - markdown=3.2.1=py_0 + - markupsafe=1.1.1=py36h8c4c3a4_1 + - natsort=7.0.1=py_0 + - ncls=0.0.53=py36h516909a_0 + - ncurses=6.1=hf484d3e_1002 + - numpy=1.16.1=py36_blas_openblash1522bff_0 + - openblas=0.3.3=h9ac9557_1001 + - openssl=1.1.1e=h516909a_0 + - pandas=1.0.3=py36h830a2c2_0 + - pip=20.0.2=py_2 + - protobuf=3.11.3=py36he1b5a44_0 + - pygpu=0.7.6=py36hc1659b7_1000 + - pyranges=0.0.51=py36h516909a_1 + - pyrle=0.0.31=py36h516909a_0 + - pysam=0.15.4=py36hbcae180_0 + - python=3.6.8=h0371630_0 + - python-dateutil=2.8.1=py_0 + - python_abi=3.6=1_cp36m + - pytz=2019.3=py_0 + - pyyaml=5.3.1=py36h8c4c3a4_0 + - readline=7.0=hf8c457e_1001 + - scikit-learn=0.19.2=py36h22eb022_0 + - scipy=1.2.1=py36_blas_openblash1522bff_0 + - setuptools=46.1.3=py36h9f0ad1d_0 + - six=1.14.0=py_1 + - sorted_nearest=0.0.31=py36hc1659b7_0 + - sqlite=3.28.0=h8b20d00_0 + - tabulate=0.8.7=pyh9f0ad1d_0 + - tensorboard=1.9.0=py36_0 + - tensorflow=1.9.0=py36_0 + - termcolor=1.1.0=py_2 + - theano=1.0.4=py36he1b5a44_1001 + - tk=8.6.10=hed695b0_0 + - werkzeug=1.0.0=py_0 + - wheel=0.34.2=py_1 + - xz=5.2.4=h516909a_1002 + - yaml=0.2.2=h516909a_1 + - zlib=1.2.11=h516909a_1006 + - pip: + - argcomplete==1.11.1 + - argh==0.26.2 + - arrow==0.15.5 + - attrs==19.3.0 + - binaryornot==0.4.4 + - chardet==3.0.4 + - colorlog==4.1.0 + - concise==0.6.8 + - cookiecutter==1.7.0 + - cycler==0.10.0 + - deprecation==2.0.7 + - descartes==1.1.0 + - future==0.18.2 + - gffutils==0.10.1 + - gtfparse==1.2.0 + - idna==2.9 + - importlib-metadata==1.5.1 + - jinja2==2.11.1 + - jinja2-time==0.2.0 + - kipoi==0.6.25 + - kipoi-conda==0.2.2 + - kipoi-utils==0.3.8 + - kipoiseq==0.2.5 + - kiwisolver==1.1.0 + - matplotlib==3.2.1 + - mmsplice==1.0.1 + - packaging==20.3 + - poyo==0.5.0 + - pybedtools==0.8.1 + - pyfaidx==0.5.8 + - pyparsing==2.4.6 + - related==0.7.2 + - requests==2.23.0 + - shapely==1.7.0 + - simplejson==3.17.0 + - tinydb==3.15.2 + - tqdm==4.43.0 + - urllib3==1.25.8 + - whichcraft==0.6.1 + - zipp==3.1.0 diff --git a/envs/environment3_minimal.yml b/envs/environment3_minimal.yml new file mode 100644 index 0000000..d476d9c --- /dev/null +++ b/envs/environment3_minimal.yml @@ -0,0 +1,21 @@ +name: MMSplice-minimal +channels: +- bioconda +- conda-forge +- defaults +dependencies: +- python=3.6.8 +- cython=0.29.13 +- pyranges=0.0.51 +- libgcc=7.2.0 +- tensorflow=1.9.0 +- keras=2.2.4 +- numpy=1.16.1 +- scikit-learn=0.19.2 +- cyvcf2 +- pandas +- pysam +- pip +- pip: + - kipoiseq==0.2.5 + - mmsplice==1.0.1 diff --git a/envs/environment_minimal.yml b/envs/environment_minimal.yml new file mode 100644 index 0000000..778e716 --- /dev/null +++ b/envs/environment_minimal.yml @@ -0,0 +1,12 @@ +name: cadd-minimal +channels: +- bioconda +- conda-forge +- defaults +dependencies: +- ensembl-vep=95.1=pl526ha4d7672_0 +- python=2.7.13=0 +- scikit-learn=0.20.4 +- pysam +- pyvcf +- pandas \ No newline at end of file diff --git a/src/environment.yml b/src/environment.yml deleted file mode 100644 index 093dee6..0000000 --- a/src/environment.yml +++ /dev/null @@ -1,70 +0,0 @@ -name: cadd-env -channels: - - bioconda - - r - - defaults - - conda-forge -dependencies: - - _libgcc_mutex=0.1=main - - bcftools=1.4.1=0 - - blas=1.1=openblas - - bzip2=1.0.8=h516909a_2 - - ca-certificates=2019.11.28=hecc5488_0 - - certifi=2019.11.28=py27_0 - - curl=7.61.0=h93b3f91_2 - - ensembl-vep=89.1=htslib1.4_1 - - htslib=1.4.1=0 - - krb5=1.14.6=0 - - libgcc=7.2.0=h69d50b8_2 - - libgcc-ng=9.2.0=hdf63c60_0 - - libgfortran=3.0.0=1 - - libssh2=1.8.0=h1ad7b7a_1003 - - libstdcxx-ng=9.2.0=hdf63c60_0 - - mysql-connector-c=6.1.6=2 - - mysqlclient=1.3.10=py27_0 - - ncurses=5.9=10 - - numpy=1.14.2=py27_blas_openblas_200 - - openblas=0.2.20=8 - - openssl=1.0.2t=h14c3975_0 - - pandas=0.20.3=py27_1 - - perl=5.22.0.1=0 - - perl-bio-db-hts=2.7=htslib1.4_0 - - perl-bioperl=1.6.924=4 - - perl-capture-tiny=0.36=0 - - perl-cgi=4.22=3 - - perl-common-sense=3.74=0 - - perl-compress-raw-bzip2=2.069=1 - - perl-compress-raw-zlib=2.069=3 - - perl-dbd-mysql=4.033=2 - - perl-dbi=1.641=pl5.22.0_0 - - perl-extutils-cppguess=0.12=pl5.22.0_0 - - perl-io-compress=2.069=pl5.22.0_2 - - perl-json=2.90=1 - - perl-json-xs=2.34=0 - - perl-perlio-gzip=0.19=pl5.22.0_2 - - perl-scalar-list-utils=1.45=2 - - perl-sereal=3.015=0 - - perl-sereal-decoder=3.015=0 - - perl-sereal-encoder=3.015=0 - - perl-set-intervaltree=0.11=pl5.22.0_0 - - perl-threaded=5.26.0=0 - - perl-yaml=1.24=pl522_1 - - pip=19.3.1=py27_0 - - pysam=0.11.2.1=py27_0 - - python=2.7.13=0 - - python-dateutil=2.8.1=py_0 - - pytz=2019.3=py_0 - - pyvcf=0.6.8=py27_0 - - readline=6.2=0 - - samtools=1.4.1=0 - - scikit-learn=0.19.1=py27_blas_openblas_201 - - scipy=1.0.1=py27_blas_openblas_200 - - setuptools=42.0.2=py27_0 - - six=1.13.0=py27_0 - - sqlite=3.13.0=1 - - tk=8.5.19=2 - - unzip=6.0=h516909a_0 - - wheel=0.33.6=py27_0 - - xz=5.2.4=h14c3975_1001 - - zlib=1.2.11=h516909a_1006 - From 69a2fde714b3b1f5a27bcbd245cb14cde4ef0ad7 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Thu, 26 Mar 2020 11:10:58 +0100 Subject: [PATCH 13/27] Rewrote CADD.sh to use snakemake --- CADD.sh | 152 +++++++++++------------------------------------------- Snakefile | 145 +++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 174 insertions(+), 123 deletions(-) create mode 100644 Snakefile diff --git a/CADD.sh b/CADD.sh index 6fa9f81..4188f35 100755 --- a/CADD.sh +++ b/CADD.sh @@ -1,24 +1,27 @@ #!/bin/bash -usage="$(basename "$0") [-o ] [-g ] [-v ] [-a] -- CADD version 1.5 +usage="$(basename "$0") [-o ] [-g ] [-v ] [-a] -- CADD version 1.6 where: -h show this help text -o out tsv.gz file (generated from input file name if not set) -g genome build (supported are GRCh37 and GRCh38 [default: GRCh38]) - -v CADD version (either v1.4 or v1.5 [default: v1.5]) + -v CADD version (only v1.6 possible with this set of scripts [default: v1.6]) -a include annotation in output - input vcf of vcf.gz file (required)" + input vcf of vcf.gz file (required) + -q print basic information about snakemake run + -p print full information about the snakemake run + " unset OPTARG unset OPTIND -export LC_ALL=C GENOMEBUILD="GRCh38" ANNOTATION=false OUTFILE="" -VERSION="v1.5" -while getopts ':ho:g:v:a' option; do +VERSION="v1.6" +VERBOSE="-q" +while getopts ':ho:g:v:aqp' option; do case "$option" in h) echo "$usage" exit @@ -31,6 +34,10 @@ while getopts ':ho:g:v:a' option; do ;; a) ANNOTATION=true ;; + q) VERBOSE="" + ;; + p) VERBOSE="-p" + ;; \?) printf "illegal option: -%s\n" "$OPTARG" >&2 echo "$usage" >&2 exit 1 @@ -41,7 +48,7 @@ shift $((OPTIND-1)) INFILE=$1 -echo "CADD-v1.5 (c) University of Washington, Hudson-Alpha Institute for Biotechnology and Berlin Institute of Health 2013-2019. All rights reserved." +echo "CADD-v1.6 (c) University of Washington, Hudson-Alpha Institute for Biotechnology and Berlin Institute of Health 2013-2020. All rights reserved." set -ueo pipefail @@ -72,37 +79,18 @@ then exit 1 fi -if [ "$VERSION" != "v1.4" ] && [ "$VERSION" != "v1.5" ] +if [ "$VERSION" != "v1.6" ] then - echo "Unknown/Unsupported CADD version $VERSION. This script currently only supports v1.4 and v1.5." + echo "Unknown/Unsupported CADD version $VERSION. This set of script currently only supports v1.6." + echo "If you want to score another version of CADD, please download the accordingly tagged version of the scripts" exit 1 fi -if [ "$VERSION" == "v1.5" ] && [ "$GENOMEBUILD" == "GRCh37" ] -then - echo "Please note that CADD scores for GRCh37 version v1.5 are the same as in v1.4." - VERSION="v1.4" -fi - if [ "$ANNOTATION" = 'true' ] then - ANNO_FOLDER="incl_anno" + CONFIG=$CADD/config/config_${GENOMEBUILD}_${VERSION}.yml else - ANNO_FOLDER="no_anno" -fi - -# Pipeline configuration -PRESCORED_FOLDER=$CADD/data/prescored/${GENOMEBUILD}_${VERSION}/$ANNO_FOLDER -REFERENCE_CONFIG=$CADD/config/references_${GENOMEBUILD}_${VERSION}.cfg -IMPUTE_CONFIG=$CADD/config/impute_${GENOMEBUILD}_${VERSION}.cfg -MODEL=$CADD/data/models/$GENOMEBUILD/CADD${VERSION}-$GENOMEBUILD.mod -CONVERSION_TABLE=$CADD/data/models/$GENOMEBUILD/conversionTable_CADD${VERSION}-$GENOMEBUILD.txt - -# determine VEP database version -DBVERSION=92 -if [ "$GENOMEBUILD" == "GRCh38" ] && [ "$VERSION" == "v1.5" ] -then - DBVERSION=95 + CONFIG=$CADD/config/config_${GENOMEBUILD}_${VERSION}_noanno.yml fi # Setup temporary folder that is removed reliably on exit and is outside of @@ -111,101 +99,19 @@ TMP_FOLDER=$(mktemp -d) trap "rm -rf $TMP_FOLDER" ERR EXIT # Temp files -TMP_PRE=$TMP_FOLDER/$NAME.pre.tsv.gz -TMP_VCF=$TMP_FOLDER/$NAME.vcf -TMP_ANNO=$TMP_FOLDER/$NAME.anno.tsv.gz -TMP_IMP=$TMP_FOLDER/$NAME.csv.gz -TMP_NOV=$TMP_FOLDER/$NAME.nov.tsv.gz +TMP_INFILE=$TMP_FOLDER/$NAME.$FILEFORMAT +TMP_OUTFILE=$TMP_FOLDER/$NAME.tsv.gz -mkdir -p $TMP_FOLDER +cp $INFILE $TMP_INFILE -### Pipeline - -# Loading the environment -if [ "$VERSION" == "v1.4" ] -then - source activate cadd-env -else - source activate cadd-env-v1.5 -fi - -# File preparation -if [ "$FILEFORMAT" == "vcf" ] -then - cat $INFILE \ - | python $CADD/src/scripts/VCF2vepVCF.py \ - | sort -k1,1 -k2,2n -k3,3 -k4,4 \ - | uniq > $TMP_VCF -else - zcat $INFILE \ - | python $CADD/src/scripts/VCF2vepVCF.py \ - | sort -k1,1 -k2,2n -k3,3 -k4,4 \ - | uniq > $TMP_VCF -fi - -# Prescoring -echo '## Prescored variant file' | gzip -c > $TMP_PRE; -if [ -d $PRESCORED_FOLDER ] -then - for PRESCORED in $(ls $PRESCORED_FOLDER/*.tsv.gz) - do - cat $TMP_VCF \ - | python $CADD/src/scripts/extract_scored.py --header \ - -p $PRESCORED --found_out=$TMP_PRE.tmp \ - > $TMP_VCF.tmp; - gzip -c $TMP_PRE.tmp >> $TMP_PRE - mv $TMP_VCF.tmp $TMP_VCF; - done; - rm $TMP_PRE.tmp -fi - -# Variant annotation -cat $TMP_VCF \ -| vep --quiet --cache --buffer 1000 --no_stats --offline --vcf \ - --dir $CADD/data/annotations/${GENOMEBUILD}_${VERSION}/vep \ - --species homo_sapiens --db_version=$DBVERSION \ - --assembly $GENOMEBUILD --regulatory --sift b \ - --polyphen b --per_gene --ccds --domains --numbers --canonical \ - --total_length --force_overwrite --format vcf --output_file STDOUT \ - --warning_file STDERR \ -| python $CADD/src/scripts/annotateVEPvcf.py -c $REFERENCE_CONFIG \ -| gzip -c > $TMP_ANNO -rm $TMP_VCF - -# Imputation -zcat $TMP_ANNO \ -| python $CADD/src/scripts/trackTransformation.py -b \ - -c $IMPUTE_CONFIG -o $TMP_IMP --noheader; - -# Score prediction -python $CADD/src/scripts/predictSKmodel.py \ - -i $TMP_IMP -m $MODEL -a $TMP_ANNO \ -| python $CADD/src/scripts/max_line_hierarchy.py --all \ -| python $CADD/src/scripts/appendPHREDscore.py -t $CONVERSION_TABLE \ -| gzip -c > $TMP_NOV; -rm $TMP_ANNO -rm $TMP_IMP - -if [ "$ANNOTATION" = 'false' ] -then - if [ "$GENOMEBUILD" == "GRCh38" ] - then - COLUMNS="1-4,124,125" - else - COLUMNS="1-4,106,107" - fi - zcat $TMP_NOV | cut -f $COLUMNS | uniq | gzip -c > $TMP_NOV.tmp - mv $TMP_NOV.tmp $TMP_NOV -fi +echo "Running snakemake pipeline:" +echo snakemake $TMP_OUTFILE --use-conda --conda-prefix $CADD/envs +echo --configfile $CONFIG --snakefile $CADD/Snakefile $VERBOSE +snakemake $TMP_OUTFILE --use-conda --conda-prefix $CADD/envs \ + --configfile $CONFIG --snakefile $CADD/Snakefile $VERBOSE -# Join pre and novel scored variants -{ - echo "##CADD $GENOMEBUILD-$VERSION (c) University of Washington, Hudson-Alpha Institute for Biotechnology and Berlin Institute of Health 2013-2019. All rights reserved."; - head -n 1 < <(zcat $TMP_NOV); - zcat $TMP_PRE $TMP_NOV | grep -v "^#" | sort -k1,1 -k2,2n -k3,3 -k4,4 || true; -} | bgzip -c > $OUTFILE; -rm $TMP_NOV -rm $TMP_PRE +mv $TMP_OUTFILE $OUTFILE +rm $TMP_INFILE # is in temp folder, should not be necessary OUTFILE=$(echo $OUTFILE | sed 's/^\.\///') echo -e "\nCADD scored variants written to file: $OUTFILE" diff --git a/Snakefile b/Snakefile new file mode 100644 index 0000000..2c69bf3 --- /dev/null +++ b/Snakefile @@ -0,0 +1,145 @@ + +"""Note that we are declaring many files temporary here that should be located in a temporary folder to begin with""" + +rule decompress: + input: '{file}.vcf.gz' + output: temp('{file}.vcf') + shell: + ''' + zcat {input} > {output} + ''' + +rule prepare: + input: '{file}.vcf' + output: temp('{file}.prepared.vcf') + conda: 'envs/environment.yml' + shell: + ''' + export LC_ALL=C + + cat {input} \ + | python {config[CADDpath]}/src/scripts/VCF2vepVCF.py \ + | sort -k1,1 -k2,2n -k3,3 -k4,4 \ + | uniq > {output} + ''' + +rule prescore: + input: '{file}.prepared.vcf' + output: + novel=temp('{file}.novel.vcf'), + prescored=temp('{file}.pre.tsv') + conda: 'envs/environment.yml' + shell: + ''' + # Prescoring + echo '## Prescored variant file' > {output.prescored}; + if [ -d {config[CADDpath]}/{config[PrescoredFolder]} ] + then + for PRESCORED in $(ls {config[CADDpath]}/{config[PrescoredFolder]}/*.tsv.gz) + do + cat {input} \ + | python {config[CADDpath]}/src/scripts/extract_scored.py --header \ + -p {config[CADDpath]}/$PRESCORED --found_out={output.prescored}.tmp \ + > {input}.tmp; + cat {output.prescored}.tmp >> {output.prescored} + mv {input}.tmp {input}; + done; + rm {output.prescored}.tmp + fi + mv {input} {output.novel} + ''' + +rule vep: + input: '{file}.novel.vcf' + output: temp('{file}.vep.vcf.gz') + conda: 'envs/environment.yml' + shell: + ''' + cat {input} \ + | vep --quiet --cache --offline --dir {config[CADDpath]}/{config[VEPpath]} \ + --buffer 1000 --no_stats --species homo_sapiens \ + --db_version={config[EnsemblDB]} --assembly {config[GenomeBuild]} \ + --format vcf --regulatory --sift b --polyphen b --per_gene --ccds --domains \ + --numbers --canonical --total_length --vcf --force_overwrite --output_file STDOUT \ + | bgzip -c > {output} + ''' + +rule mmsplice: + input: '{file}.vep.vcf.gz' + output: temp('{file}.mmsplice.vcf') + conda: 'envs/environment3.yml' + shell: + ''' + conda list > $CADD/env + tabix -p vcf {input} -f + #python3 {config[CADDpath]}/src/scripts/MMSplice.py -i {input} \ + # -g {config[CADDpath]}/{config[ReferenceGTF]} \ + # -f {config[CADDpath]}/{config[ReferenceFasta]} \ + # + zcat {input} \ + | grep -v '^Variant(CHROM=' > {output} + rm {input}.tbi + ''' + +rule annotation: + input: '{file}.mmsplice.vcf' + output: temp('{file}.anno.tsv.gz') + conda: 'envs/environment.yml' + shell: + ''' + cat {input} \ + | python {config[CADDpath]}/src/scripts/annotateVEPvcf.py \ + -c {config[CADDpath]}/{config[ReferenceConfig]} \ + | gzip -c > {output} + ''' + +rule imputation: + input: '{file}.anno.tsv.gz' + output: temp('{file}.csv.gz') + conda: 'envs/environment.yml' + shell: + ''' + zcat {input} \ + | python $CADD/src/scripts/trackTransformation.py -b \ + -c $CADD/{config[ImputeConfig]} -o {output} --noheader; + ''' + +rule score: + input: + impute='{file}.csv.gz', + anno='{file}.anno.tsv.gz' + output: temp('{file}.novel.tsv') + conda: 'envs/environment.yml' + shell: + ''' + python $CADD/src/scripts/predictSKmodel.py \ + -i {input.impute} -m $CADD/{config[Model]} -a {input.anno} \ + | python $CADD/src/scripts/max_line_hierarchy.py --all \ + | python $CADD/src/scripts/appendPHREDscore.py \ + -t $CADD/{config[ConversionTable]} > {output}; + + if [ "{config[Annotation]}" = 'False' ] + then + cat {output} | cut -f {config[Columns]} | uniq > {output}.tmp + mv {output}.tmp {output} + fi + ''' + +rule join: + input: + pre='{file}.pre.tsv', + novel='{file}.novel.tsv' + output: '{file}.tsv.gz' + conda: 'envs/environment.yml' + shell: + ''' + export LC_ALL=C + + ( + echo {config[Header]}; + cat {input.novel} | head -n 1; + cat {input.pre} {input.novel} \ + | grep -v "^#" \ + | sort -k1,1 -k2,2n -k3,3 -k4,4 + ) | bgzip -c > {output}; + ''' From 4e5f612fe1808577952dcb73c1c78fa48df9c556 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Thu, 26 Mar 2020 11:12:26 +0100 Subject: [PATCH 14/27] adjusted annotation file names --- config/references_GRCh38_v1.6.cfg | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/config/references_GRCh38_v1.6.cfg b/config/references_GRCh38_v1.6.cfg index 52903ec..53135b3 100644 --- a/config/references_GRCh38_v1.6.cfg +++ b/config/references_GRCh38_v1.6.cfg @@ -3,7 +3,7 @@ roottype = var rootdir = CADD annodir = /data/annotations/GRCh38_v1.6/ -reference = /reference/hg38.fa +reference = /reference/reference.fa [Annotations] Length = True @@ -25,7 +25,7 @@ MutationDensity1000 = /mutation_density/mutDensity_v1.3/variant_density.MAF005.1 MutationDensity10000 = /mutation_density/mutDensity_v1.3/variant_density.MAF005.10000.bg.gz chromHMM_25state = /chromhmm/chromHMM_GRCh38_noBlueprint.bg.gz GERPscoresBed = /gerp/gerp_score2_hg38_MAM.bg.gz -GERPelementsBed = /gerp/gerp2_elements_hg38_MAM.bg.gz +GERPelementsBed = /gerp/gerp_elements2_hg38_MAM.bg.gz motifs = /encodeMotifDB/motifs_hg38.tsv.gz EncodeH3K4me1FC = /encode/H3K4me1/H3K4me1_merged_short.bg.gz EncodeH3K4me2FC = /encode/H3K4me2/H3K4me2_merged_short.bg.gz From 489ceecd91c724d97ee4d0756813e3b41238e70c Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Thu, 26 Mar 2020 14:15:38 +0100 Subject: [PATCH 15/27] fixed max_line_hierachry consequence ranking --- src/scripts/max_line_hierarchy.py | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/src/scripts/max_line_hierarchy.py b/src/scripts/max_line_hierarchy.py index 504e9fc..7a0f019 100755 --- a/src/scripts/max_line_hierarchy.py +++ b/src/scripts/max_line_hierarchy.py @@ -29,7 +29,7 @@ else: scorecol = -1 -fVconseq = 12 +fVconseq = 7 annolines = [(None,None),(None,None),(None,None),(None,None)] all_lines = [] @@ -44,6 +44,12 @@ if line.startswith('#'): fields = line.rstrip().split("\t") GPSindices = [ind for ind,value in enumerate(fields) if value in GPSnames] + for ind, value in enumerate(fields): + if value == 'RawScore': + scorecol = ind + break + if value == 'Consequence': + fVconseq = ind if options.noheader: continue sys.stdout.write(line) else: @@ -75,13 +81,13 @@ annolines = [(None,None),(None,None),(None,None),(None,None)] lpos = pos - if ("coding" in fields[fVconseq]) or ("missense" in fields[fVconseq]) or ("synonymous" in fields[fVconseq]) or ("stop" in fields[fVconseq]) or ("mature" in fields[fVconseq]) or ("splice" in fields[fVconseq]) or ("initiator_codon" in fields[fVconseq]) or ("frame" in fields[fVconseq]) or ("terminal_codon" in fields[fVconseq]) or ("frame" in fields[fVconseq]): + if fields[fVconseq] in ['NON_SYNONYMOUS', 'SYNONYMOUS', 'STOP_GAINED', 'STOP_LOST', 'FRAME_SHIFT', 'INFRAME', 'CANONICAL_SPLICE', 'SPLICE_SITE', 'NONCODING_CHANGE']: if annolines[0][0] == None or score > annolines[0][0]: annolines[0]=score,fields - elif ("utr" in fields[fVconseq]) or ("regulatory" in fields[fVconseq]): + elif fields[fVconseq] in ['REGULATORY', '5PRIME_UTR', '3PRIME_UTR']: if annolines[1][0] == None or score > annolines[1][0]: annolines[1]=score,fields - elif "intronic" in fields[fVconseq] or ("upstream" in fields[fVconseq]) or ("downstream" in fields[fVconseq]): + elif fields[fVconseq] in ['INTRONIC', 'UPSTREAM', 'DOWNSTREAM']: if annolines[2][0] == None or score > annolines[2][0]: annolines[2]=score,fields else: From e8c62655bf0cdd08d4d5c763921ca889c397f673 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Thu, 26 Mar 2020 14:26:27 +0100 Subject: [PATCH 16/27] variable shuffeling between files, reenable mmsplice --- CADD.sh | 1 + Snakefile | 33 +++++++++++----------------- config/config_GRCh37_v1.6.yml | 24 ++++++++++++++++++++ config/config_GRCh37_v1.6_noanno.yml | 24 ++++++++++++++++++++ config/config_GRCh38_v1.6.yml | 24 ++++++++++++++++++++ config/config_GRCh38_v1.6_noanno.yml | 24 ++++++++++++++++++++ 6 files changed, 110 insertions(+), 20 deletions(-) create mode 100644 config/config_GRCh37_v1.6.yml create mode 100644 config/config_GRCh37_v1.6_noanno.yml create mode 100644 config/config_GRCh38_v1.6.yml create mode 100644 config/config_GRCh38_v1.6_noanno.yml diff --git a/CADD.sh b/CADD.sh index 4188f35..7dd99c7 100755 --- a/CADD.sh +++ b/CADD.sh @@ -15,6 +15,7 @@ where: unset OPTARG unset OPTIND +export LC_ALL=C GENOMEBUILD="GRCh38" ANNOTATION=false diff --git a/Snakefile b/Snakefile index 2c69bf3..9e9cb7b 100644 --- a/Snakefile +++ b/Snakefile @@ -15,10 +15,8 @@ rule prepare: conda: 'envs/environment.yml' shell: ''' - export LC_ALL=C - cat {input} \ - | python {config[CADDpath]}/src/scripts/VCF2vepVCF.py \ + | python $CADD/src/scripts/VCF2vepVCF.py \ | sort -k1,1 -k2,2n -k3,3 -k4,4 \ | uniq > {output} ''' @@ -33,13 +31,13 @@ rule prescore: ''' # Prescoring echo '## Prescored variant file' > {output.prescored}; - if [ -d {config[CADDpath]}/{config[PrescoredFolder]} ] + if [ -d $CADD/{config[PrescoredFolder]} ] then - for PRESCORED in $(ls {config[CADDpath]}/{config[PrescoredFolder]}/*.tsv.gz) + for PRESCORED in $(ls $CADD/{config[PrescoredFolder]}/*.tsv.gz) do cat {input} \ - | python {config[CADDpath]}/src/scripts/extract_scored.py --header \ - -p {config[CADDpath]}/$PRESCORED --found_out={output.prescored}.tmp \ + | python $CADD/src/scripts/extract_scored.py --header \ + -p $CADD/$PRESCORED --found_out={output.prescored}.tmp \ > {input}.tmp; cat {output.prescored}.tmp >> {output.prescored} mv {input}.tmp {input}; @@ -56,7 +54,7 @@ rule vep: shell: ''' cat {input} \ - | vep --quiet --cache --offline --dir {config[CADDpath]}/{config[VEPpath]} \ + | vep --quiet --cache --offline --dir $CADD/{config[VEPpath]} \ --buffer 1000 --no_stats --species homo_sapiens \ --db_version={config[EnsemblDB]} --assembly {config[GenomeBuild]} \ --format vcf --regulatory --sift b --polyphen b --per_gene --ccds --domains \ @@ -70,13 +68,10 @@ rule mmsplice: conda: 'envs/environment3.yml' shell: ''' - conda list > $CADD/env tabix -p vcf {input} -f - #python3 {config[CADDpath]}/src/scripts/MMSplice.py -i {input} \ - # -g {config[CADDpath]}/{config[ReferenceGTF]} \ - # -f {config[CADDpath]}/{config[ReferenceFasta]} \ - # - zcat {input} \ + python3 $CADD/src/scripts/MMSplice.py -i {input} \ + -g $CADD/{config[ReferenceGTF]} \ + -f $CADD/{config[ReferenceFasta]} \ | grep -v '^Variant(CHROM=' > {output} rm {input}.tbi ''' @@ -88,8 +83,8 @@ rule annotation: shell: ''' cat {input} \ - | python {config[CADDpath]}/src/scripts/annotateVEPvcf.py \ - -c {config[CADDpath]}/{config[ReferenceConfig]} \ + | python $CADD/src/scripts/annotateVEPvcf.py \ + -c $CADD/{config[ReferenceConfig]} \ | gzip -c > {output} ''' @@ -133,11 +128,9 @@ rule join: conda: 'envs/environment.yml' shell: ''' - export LC_ALL=C - ( - echo {config[Header]}; - cat {input.novel} | head -n 1; + echo "{config[Header]}"; + head -n 1 {input.novel}; cat {input.pre} {input.novel} \ | grep -v "^#" \ | sort -k1,1 -k2,2n -k3,3 -k4,4 diff --git a/config/config_GRCh37_v1.6.yml b/config/config_GRCh37_v1.6.yml new file mode 100644 index 0000000..f36b729 --- /dev/null +++ b/config/config_GRCh37_v1.6.yml @@ -0,0 +1,24 @@ +# This is the config for retrieving CADD GRCh37-v1.6 scores with annotation + +Header: '##CADD GRCh37-v1.6 (c) University of Washington, Hudson-Alpha Institute for Biotechnology and Berlin Institute of Health 2013-2020. All rights reserved.' + +Version: v1.6 +GenomeBuild: GRCh37 +Annotation: true + +# File parameter +PrescoredFolder: data/prescored/GRCh37_v1.6/incl_anno +ReferenceConfig: config/references_GRCh37_v1.6.cfg +ImputeConfig: config/impute_GRCh37_v1.6.cfg +Model: data/models/GRCh37/CADDv1.6-GRCh37.mod +ConversionTable: data/models/GRCh37/conversionTable_CADDv1.6-GRCh37.txt + +# MMSplice config +ReferenceGTF: data/annotations/GRCh37_v1.6/mmsplice/Homo_sapiens.GRCh37.gtf +ReferenceFasta: data/annotations/GRCh37_v1.6/reference/reference.fa + +# VEP +VEPpath: data/annotations/GRCh37_v1.6/vep +EnsemblDB: 95 + +Columns: '1-116' diff --git a/config/config_GRCh37_v1.6_noanno.yml b/config/config_GRCh37_v1.6_noanno.yml new file mode 100644 index 0000000..3458f08 --- /dev/null +++ b/config/config_GRCh37_v1.6_noanno.yml @@ -0,0 +1,24 @@ +# This is the config for retrieving CADD GRCh37-v1.6 scores without annotation + +Header: '##CADD GRCh37-v1.6 (c) University of Washington, Hudson-Alpha Institute for Biotechnology and Berlin Institute of Health 2013-2020. All rights reserved.' + +Version: v1.6 +GenomeBuild: GRCh37 +Annotation: false + +# File parameter +PrescoredFolder: data/prescored/GRCh37_v1.6/no_anno +ReferenceConfig: config/references_GRCh37_v1.6.cfg +ImputeConfig: config/impute_GRCh37_v1.6.cfg +Model: data/models/GRCh37/CADDv1.6-GRCh37.mod +ConversionTable: data/models/GRCh37/conversionTable_CADDv1.6-GRCh37.txt + +# MMSplice config +ReferenceGTF: data/annotations/GRCh37_v1.6/mmsplice/Homo_sapiens.GRCh37.gtf +ReferenceFasta: data/annotations/GRCh37_v1.6/reference/reference.fa + +# VEP +VEPpath: data/annotations/GRCh37_v1.6/vep +EnsemblDB: 95 + +Columns: '1-4,115,116' diff --git a/config/config_GRCh38_v1.6.yml b/config/config_GRCh38_v1.6.yml new file mode 100644 index 0000000..92a5653 --- /dev/null +++ b/config/config_GRCh38_v1.6.yml @@ -0,0 +1,24 @@ +# This is the config for retrieving CADD GRCh38-v1.6 scores with annotation + +Header: '##CADD GRCh38-v1.6 (c) University of Washington, Hudson-Alpha Institute for Biotechnology and Berlin Institute of Health 2013-2020. All rights reserved.' + +Version: v1.6 +GenomeBuild: GRCh38 +Annotation: true + +# File parameter +PrescoredFolder: data/prescored/GRCh38_v1.6/incl_anno +ReferenceConfig: config/references_GRCh38_v1.6.cfg +ImputeConfig: config/impute_GRCh38_v1.6.cfg +Model: data/models/GRCh38/CADDv1.6-GRCh38.mod +ConversionTable: data/models/GRCh38/conversionTable_CADDv1.6-GRCh38.txt + +# MMSplice config +ReferenceGTF: data/annotations/GRCh38_v1.6/mmsplice/Homo_sapiens.GRCh38.gtf +ReferenceFasta: data/annotations/GRCh38_v1.6/reference/reference.fa + +# VEP +VEPpath: data/annotations/GRCh38_v1.6/vep +EnsemblDB: 95 + +Columns: '1-134' diff --git a/config/config_GRCh38_v1.6_noanno.yml b/config/config_GRCh38_v1.6_noanno.yml new file mode 100644 index 0000000..e15354c --- /dev/null +++ b/config/config_GRCh38_v1.6_noanno.yml @@ -0,0 +1,24 @@ +# This is the config for retrieving CADD GRCh38-v1.6 scores without annotation + +Header: '##CADD GRCh38-v1.6 (c) University of Washington, Hudson-Alpha Institute for Biotechnology and Berlin Institute of Health 2013-2020. All rights reserved.' + +Version: v1.6 +GenomeBuild: GRCh38 +Annotation: false + +# File parameter +PrescoredFolder: data/prescored/GRCh38_v1.6/no_anno +ReferenceConfig: config/references_GRCh38_v1.6.cfg +ImputeConfig: config/impute_GRCh38_v1.6.cfg +Model: data/models/GRCh38/CADDv1.6-GRCh38.mod +ConversionTable: data/models/GRCh38/conversionTable_CADDv1.6-GRCh38.txt + +# MMSplice config +ReferenceGTF: data/annotations/GRCh38_v1.6/mmsplice/Homo_sapiens.GRCh38.gtf +ReferenceFasta: data/annotations/GRCh38_v1.6/reference/reference.fa + +# VEP +VEPpath: data/annotations/GRCh38_v1.6/vep +EnsemblDB: 95 + +Columns: '1-4,133,134' From 448ab0bee983398439539da445a2fbd9afe4b305 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Thu, 26 Mar 2020 14:26:49 +0100 Subject: [PATCH 17/27] update for v1.6 --- README.md | 46 ++++++++++++++++++++-------------------------- 1 file changed, 20 insertions(+), 26 deletions(-) diff --git a/README.md b/README.md index d8f9837..d6d0a3a 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ Please check our [website for updates and further information](http://cadd.gs.wa ## Offline Installation -This section describes how users can setup CADD version 1.5 on their own system. Please note that this requires between 100 GB - 1 TB of disc space and at least 12 GB of RAM. +This section describes how users can setup CADD version 1.6 on their own system. Please note that this requires between 100 GB - 1 TB of disc space and at least 12 GB of RAM. ### Prerequisite @@ -35,8 +35,10 @@ wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh bash Miniconda2-latest-Linux-x86_64.sh -p $HOME/miniconda2 -b export PATH=$HOME/miniconda2/bin:$PATH ``` - -*Note: You can also install CADD without conda by installing the dependencies otherwise. You can find the list of tools (VEP) and (python) libraries in the [`src/environment.yml`](https://github.com/kircherlab/CADD-scripts/blob/master/src/environment.yml) file (for CADD GRCh38-v1.5 use [`src/environment_v1.5.yml`](https://github.com/kircherlab/CADD-scripts/blob/master/src/environment_v1.5.yml)). In this case, you will also have to disable the line `source activate cadd-env` in `CADD.sh`* +- snakemake (installed via conda) +```bash +conda install snakemake +``` *Note2: If you are using an existing conda installation, please make sure it is [a version >=4.4.0](https://github.com/conda/conda/issues/3200).* @@ -58,25 +60,27 @@ This is the easier way of installing CADD, just run: ./install.sh ``` -You first state which parts you want to install (the environment as well as at least one genome build including annotation tracks are neccessary for a quick start) and the script should manage loading and unpacking the neccessary files. +You first state which parts you want to install (the environments as well as at least one genome build including annotation tracks are neccessary for a quick start) and the script should manage loading and unpacking the neccessary files. #### Manual installation -Running CADD depends on three big building blocks (plus the repository containing this README which we assume you already downloaded): +Running CADD depends on four big building blocks (plus the repository containing this README which we assume you already downloaded): + - snakemake - dependencies - genome annotations - prescored variants **Installing dependencies** -As stated already in the Prerequisite you can install CADD dependencies without conda, although we heavily recommend doing so. This is because managing the various parts becomes very handy by relying it. To setup the neccessary environment, we only need to run the command: +As of this version, dependencies have to be installed via conda and snakemake. This is because we are using two different enviroments for python2 and python3. ```bash -conda env create -f src/environment.yml +snakemake test/input.vcf --use-conda --create-envs-only --conda-prefix envs \ + --configfile config/config_GRCh38_v1.6.yml --snakefile Snakefile ``` -After the installing process (which will take a few minutes), the CADD conda environment will be loaded (via `source activate cadd-env` automatically in the `CADD.sh` script) and CADD can run without further settings. +Please note that we installing both conda environments in the CADD subdirectory `envs` via `--conda-prefix envs`. If you do not want this behavior (we do this in order to not install the environments in all active directories you run CADD from), adjust or remove this parameter. **Installing annotations** @@ -84,22 +88,22 @@ Both version of CADD (for the different genome builds) rely on a big number of g ```bash # for GRCh37 / hg19 -wget -c http://krishna.gs.washington.edu/download/CADD/v1.4/annotationsGRCh37.tar.gz +wget -c http://krishna.gs.washington.edu/download/CADD/v1.6/annotationsGRCh37_v1.6.tar.gz # for GRCh38 / hg38 -wget -c http://krishna.gs.washington.edu/download/CADD/v1.5/annotationsGRCh38.tar.gz +wget -c http://krishna.gs.washington.edu/download/CADD/v1.6/annotationsGRCh38_v1.6.tar.gz ``` As those files are about 100 and 200 GB in size, downloads can take long (depending on your internet connection). We recommend to setup the process in the background and using a tool (like `wget -c` mentioned above) that allows you to continue an interrupted download. -To make sure you downloaded the files correctly, we recommend downloading md5 hash files from our website (e.g. `wget http://krishna.gs.washington.edu/download/CADD/v1.4/GRCh37/MD5SUMs`) and checking for completness (via `md5sum -c`). +To make sure you downloaded the files correctly, we recommend downloading md5 hash files from our website (e.g. `wget wget -c http://krishna.gs.washington.edu/download/CADD/v1.6/MD5SUMs`) and checking for completness (via `md5sum -c`). The annotation files are finally put in the folder `data/annotations` and unpacked: ```bash cd data/annotations -tar -zxvf annotationsGRCh37.tar.gz +tar -zxvf annotationsGRCh37_v1.6.tar.gz mv GRCh37 GRCh37_v1.4 -tar -zxvf annotationsGRCh38.tar.gz +tar -zxvf annotationsGRCh38_v1.6.tar.gz cd $OLDPWD ``` @@ -109,30 +113,20 @@ At this point you are ready to go, but if you want a faster version of CADD, you ### Running CADD -You run CADD via the script `CADD.sh` which technically only requieres an either vcf or vcf.gz input file as last argument. You can further specify the genome build via `-g`, CADD version via `-v`, request a fully annotated output (`-a` flag) and specify a seperate output file via `-o` (else inputfile name `.tsv.gz` is used). I.e: +You run CADD via the script `CADD.sh` which technically only requieres an either vcf or vcf.gz input file as last argument. You can further specify the genome build via `-g`, CADD version via `-v` (deprecated, the new version of the scripts only support v1.6), request a fully annotated output (`-a` flag) and specify a seperate output file via `-o` (else inputfile name `.tsv.gz` is used). I.e: ```bash ./CADD.sh test/input.vcf -./CADD.sh -a -g GRCh37 -v v1.4 -o output_inclAnno_GRCh37.tsv.gz test/input.vcf +./CADD.sh -a -g GRCh37 -o output_inclAnno_GRCh37.tsv.gz test/input.vcf ``` You can test whether your CADD is set up properly by comparing to the example files in the `test` directory. ### Update -Between versions 1.4 and 1.5, we adjusted the CADD repository slightly. If you used CADD before and obviously do not want to download all v1.4 files again, please proceed as follows: - -1. update the repository (just overwriting is fine, however this dublicates some moved files so `git pull` is prefered) -2. rename the annotation (and prescored) folder from `data/annotations/$GENOMEBUILD` to `data/annotations/${GENOMEBUILD}_${VERSION}` - -``` -mv data/annotations/GRCh37 data/annotations/GRCh37_v1.4 -mv data/annotations/GRCh38 data/annotations/GRCh38_v1.4 +Version 1.6 includes some changes in comparison to v1.5. Next to the obvious switch of the pipeline into a Snakemake workflow which became necessary due to the ongoin issues with `conda activate`, the new models for v1.6 are extended by more specialized annotations for splicing variants, as well as a few minor changes in some other annotations (most prominent: fixed gerp for GRCh38) and changes in consequence categories which make this scripts incompatible with CADD v1.4 and v1.5. If you are still using those version, please use [version 1.5 of this repository](https://github.com/kircherlab/CADD-scripts/archive/CADD1.5.zip). -# if you have prescored files -mv data/prescored/GRCh37 data/prescored/GRCh37_v1.4 -mv data/prescored/GRCh38 data/prescored/GRCh38_v1.4 ``` ## Copyright From 6288125e004ea2f777319b90b779efbe9708a80d Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Thu, 26 Mar 2020 14:27:00 +0100 Subject: [PATCH 18/27] update v1.6 --- install.sh | 216 +++++++++++++++-------------------------------------- 1 file changed, 60 insertions(+), 156 deletions(-) diff --git a/install.sh b/install.sh index d8205cf..5618c41 100755 --- a/install.sh +++ b/install.sh @@ -2,7 +2,7 @@ set -e -echo "CADD-v1.5 (c) University of Washington, Hudson-Alpha Institute for Biotechnology and Berlin Institute of Health 2013-2019. All rights reserved." +echo "CADD-v1.6 (c) University of Washington, Hudson-Alpha Institute for Biotechnology and Berlin Institute of Health 2013-2020. All rights reserved." echo "" SCRIPT=$(readlink -f "$0") @@ -18,41 +18,40 @@ then exit 1; fi +if [ "$(type snakemake)" == '' ] +then + echo 'Snakemake seems not to be available. Are you sure snakemake is installed and available in the current $PATH ?'; + exit 1; +fi + echo "The following questions will quide you through selecting the files and dependencies needed for CADD." echo "After this, you will see an overview of the selected files before the download and installation starts." echo "Please note, that for successfully running CADD locally, you will need the conda environment and at least one set of annotations." echo "" # ask which parts of CADD the user wants to install -read -p "Do you want to install the virtual environment with all CADD dependencies via conda? (y)/n " CHOICE +read -p "Do you want to install the virtual environments with all CADD dependencies via conda? (y)/n " CHOICE case "$CHOICE" in y|Y ) ENV=true;; n|N ) ENV=false;; * ) ENV=true; echo "Assuming Yes.";; esac -read -p "Do you want to install CADD v1.5 for GRCh38/hg38? (y)/n " CHOICE -case "$CHOICE" in - y|Y ) GRCh38v15=true;; - n|N ) GRCh38v15=false;; - * ) GRCh38v15=true; echo "Assuming Yes.";; -esac - -read -p "Do you want to install CADD v1.4 for GRCh37/hg19? (y)/n " CHOICE +read -p "Do you want to install CADD v1.6 for GRCh37/hg19? (y)/n " CHOICE case "$CHOICE" in y|Y ) GRCh37=true;; n|N ) GRCh37=false;; * ) GRCh37=true; echo "Assuming Yes.";; esac -read -p "Do you want to install CADD v1.4 for GRCh38/hg38? Note that this version has been replaced by CADD v1.5 y/(n) " CHOICE +read -p "Do you want to install CADD v1.6 for GRCh38/hg38? (y)/n " CHOICE case "$CHOICE" in y|Y ) GRCh38=true;; n|N ) GRCh38=false;; - * ) GRCh38=false; echo "Assuming No.";; + * ) GRCh38=true; echo "Assuming Yes.";; esac -if [ "$GRCh37" = false ] && [ "$GRCh38" = false ] && [ "$GRCh38v15" = false ] +if [ "$GRCh37" = false ] && [ "$GRCh38" = false ] then echo "You have choosen to not install any of the available CADD models. Discontinuing installation."; exit 0; @@ -95,22 +94,18 @@ then fi ### FILE CONFIGURATION - -ANNOTATION_GRCh37="http://krishna.gs.washington.edu/download/CADD/v1.4/GRCh37/annotationsGRCh37.tar.gz" -ANNOTATION_GRCh38="http://krishna.gs.washington.edu/download/CADD/v1.4/GRCh38/annotationsGRCh38.tar.gz" -ANNOTATION_GRCh38v15="http://krishna.gs.washington.edu/download/CADD/v1.5/GRCh38/annotationsGRCh38.tar.gz" -PRESCORE_GRCh37="http://krishna.gs.washington.edu/download/CADD/v1.4/GRCh37/whole_genome_SNVs.tsv.gz" -PRESCORE_GRCh38="http://krishna.gs.washington.edu/download/CADD/v1.4/GRCh38/whole_genome_SNVs.tsv.gz" -PRESCORE_GRCh38v15="http://krishna.gs.washington.edu/download/CADD/v1.5/GRCh38/whole_genome_SNVs.tsv.gz" -PRESCORE_INCANNO_GRCh37="http://krishna.gs.washington.edu/download/CADD/v1.4/GRCh37/whole_genome_SNVs_inclAnno.tsv.gz" -PRESCORE_INCANNO_GRCh38="http://krishna.gs.washington.edu/download/CADD/v1.4/GRCh38/whole_genome_SNVs_inclAnno.tsv.gz" -PRESCORE_INCANNO_GRCh38v15="http://krishna.gs.washington.edu/download/CADD/v1.5/GRCh38/whole_genome_SNVs_inclAnno.tsv.gz" -PRESCORE_GRCh37_INDEL="http://krishna.gs.washington.edu/download/CADD/v1.4/GRCh37/InDels.tsv.gz" -PRESCORE_GRCh38_INDEL="http://krishna.gs.washington.edu/download/CADD/v1.4/GRCh38/InDels.tsv.gz" -PRESCORE_GRCh38v15_INDEL="http://krishna.gs.washington.edu/download/CADD/v1.5/GRCh38/InDels.tsv.gz" -PRESCORE_INCANNO_GRCh37_INDEL="http://krishna.gs.washington.edu/download/CADD/v1.4/GRCh37/InDels_inclAnno.tsv.gz" -PRESCORE_INCANNO_GRCh38_INDEL="http://krishna.gs.washington.edu/download/CADD/v1.4/GRCh38/InDels_inclAnno.tsv.gz" -PRESCORE_INCANNO_GRCh38v15_INDEL="http://krishna.gs.washington.edu/download/CADD/v1.5/GRCh38/InDels_inclAnno.tsv.gz" +DOWNLOAD_LOCATION="https://krishna.gs.washington.edu/download/CADD" + +ANNOTATION_GRCh37="$DOWNLOAD_LOCATION/v1.6/GRCh37/annotationsGRCh37_v1.6.tar.gz" +ANNOTATION_GRCh38="$DOWNLOAD_LOCATION/v1.6/GRCh38/annotationsGRCh38_v1.6.tar.gz" +PRESCORE_GRCh37="$DOWNLOAD_LOCATION/v1.6/GRCh37/whole_genome_SNVs.tsv.gz" +PRESCORE_GRCh38="$DOWNLOAD_LOCATION/v1.6/GRCh38/whole_genome_SNVs.tsv.gz" +PRESCORE_INCANNO_GRCh37="$DOWNLOAD_LOCATION/v1.6/GRCh37/whole_genome_SNVs_inclAnno.tsv.gz" +PRESCORE_INCANNO_GRCh38="$DOWNLOAD_LOCATION/v1.6/GRCh38/whole_genome_SNVs_inclAnno.tsv.gz" +PRESCORE_GRCh37_INDEL="$DOWNLOAD_LOCATION/v1.6/GRCh37/InDels.tsv.gz" +PRESCORE_GRCh38_INDEL="$DOWNLOAD_LOCATION/v1.6/GRCh38/gnomad.genomes.r3.0.indel.tsv.gz" +PRESCORE_INCANNO_GRCh37_INDEL="$DOWNLOAD_LOCATION/v1.6/GRCh37/InDels_inclAnno.tsv.gz" +PRESCORE_INCANNO_GRCh38_INDEL="$DOWNLOAD_LOCATION/v1.6/GRCh38/gnomad.genomes.r3.0.indel_inclAnno.tsv.gz" ### OVERVIEW SELECTION @@ -119,40 +114,32 @@ echo "The following will be loaded: (disk space occupied)" if [ "$ENV" = true ] then - if [ "$GRCh38v15" = 'true' ] - then - echo " - Setup of the virtual environment including all dependencies for CADD v1.5 (3 GB)." - fi - - if [ "$GRCh38" = 'true' ] || [ "$GRCh37" = 'true' ] - then - echo " - Setup of the virtual environment including all dependencies for CADD v1.4 (3 GB)." - fi + echo " - Setup of the virtual environments including all dependencies for CADD v1.6 (10 GB)." fi if [ "$GRCh37" = true ] then if [ "$ANNOTATIONS" = true ] then - echo " - Download CADD annotations for GRCh37-v1.4 (98 GB)" + echo " - Download CADD annotations for GRCh37-v1.6 (121 GB)" fi if [ "$PRESCORE" = true ] then if [ "$INCANNO" = true ] then - echo " - Download prescored SNV inclusive annotations for GRCh37-v1.4 (231 GB)" + echo " - Download prescored SNV inclusive annotations for GRCh37-v1.6 (248 GB)" if [ "$INDELS" = true ] then - echo " - Download prescored InDels inclusive annotations for GRCh37-v1.4 (3 GB)" + echo " - Download prescored InDels inclusive annotations for GRCh37-v1.6 (3.4 GB)" fi fi if [ "$NOANNO" = true ] then - echo " - Download prescored SNV (without annotations) for GRCh37-v1.4 (78 GB)" + echo " - Download prescored SNV (without annotations) for GRCh37-v1.6 (78 GB)" if [ "$INDELS" = true ] then - echo " - Download prescored InDels (without annotations) for GRCh37-v1.4 (0.6 GB)" + echo " - Download prescored InDels (without annotations) for GRCh37-v1.6 (0.6 GB)" fi fi fi @@ -162,53 +149,25 @@ if [ "$GRCh38" = true ] then if [ "$ANNOTATIONS" = true ] then - echo " - Download CADD annotations for GRCh38-v1.4 (194 GB)" + echo " - Download CADD annotations for GRCh38-v1.6 (196 GB)" fi if [ "$PRESCORE" = true ] then if [ "$INCANNO" = true ] then - echo " - Download prescored SNV inclusive annotations for GRCh38-v1.4 (323 GB)" + echo " - Download prescored SNV inclusive annotations for GRCh38-v1.6 (313 GB)" if [ "$INDELS" = true ] then - echo " - Download prescored InDels inclusive annotations for GRCh38-v1.4 (9 GB)" + echo " - Download prescored InDels inclusive annotations for GRCh38-v1.6 (7 GB)" fi fi if [ "$NOANNO" = true ] then - echo " - Download prescored SNV (without annotations) for GRCh38-v1.4 (79 GB)" + echo " - Download prescored SNV (without annotations) for GRCh38-v1.6 (81 GB)" if [ "$INDELS" = true ] then - echo " - Download prescored InDels (without annotations) for GRCh38-v1.4 (1 GB)" - fi - fi - fi -fi - -if [ "$GRCh38v15" = true ] -then - if [ "$ANNOTATIONS" = true ] - then - echo " - Download CADD annotations for GRCh38-v1.5 (168 GB)" - fi - - if [ "$PRESCORE" = true ] - then - if [ "$INCANNO" = true ] - then - echo " - Download prescored SNV inclusive annotations for GRCh38-v1.5 (292 GB)" - if [ "$INDELS" = true ] - then - echo " - Download prescored InDels inclusive annotations for GRCh38-v1.5 (7 GB)" - fi - fi - if [ "$NOANNO" = true ] - then - echo " - Download prescored SNV (without annotations) for GRCh38-v1.5 (80 GB)" - if [ "$INDELS" = true ] - then - echo " - Download prescored InDels (without annotations) for GRCh38-v1.5 (1 GB)" + echo " - Download prescored InDels (without annotations) for GRCh38-v1.6 (1 GB)" fi fi fi @@ -226,18 +185,9 @@ esac if [ "$ENV" = true ] then - if [ "$GRCh38v15" = 'true' ] - then - echo "Setting up virtual environment for CADD v1.5" - conda env create -f src/environment_v1.5.yml - fi - - if [ "$GRCh38" = 'true' ] || [ "$GRCh37" = 'true' ] - then - echo "Setting up virtual environment for CADD v1.4" - conda env create -f src/environment.yml - fi - + echo "Setting up virtual environments for CADD v1.6" + snakemake test/input.vcf --use-conda --create-envs-only --conda-prefix envs \ + --configfile config/config_GRCh38_v1.6.yml --snakefile Snakefile fi # download a file and it index and check both md5 sums @@ -256,17 +206,17 @@ if [ "$GRCh37" = true ] then if [ "$ANNOTATIONS" = true ] then - echo "Downloading CADD annotations for GRCh37-v1.4 (98 GB)" + echo "Downloading CADD annotations for GRCh37-v1.6 (121 GB)" mkdir -p data/annotations/ cd data/annotations/ wget -c ${ANNOTATION_GRCh37} -O annotationsGRCh37.tar.gz wget ${ANNOTATION_GRCh37}.md5 -O annotationsGRCh37.tar.gz.md5 md5sum -c annotationsGRCh37.tar.gz.md5 - echo "Unpacking CADD annotations for GRCh37-v1.4" + echo "Unpacking CADD annotations for GRCh37-v1.6" tar -zxf annotationsGRCh37.tar.gz rm annotationsGRCh37.tar.gz rm annotationsGRCh37.tar.gz.md5 - mv GRCh37 GRCh37_v1.4 + mv GRCh37 GRCh37_v1.6 cd $OLDPWD fi @@ -274,24 +224,24 @@ then then if [ "$NOANNO" = true ] then - mkdir -p data/prescored/GRCh37_v1.4/no_anno/ - cd data/prescored/GRCh37_v1.4/no_anno/ - download_variantfile "Downloading prescored SNV without annotations for GRCh37-v1.4 (78 GB)" ${PRESCORE_GRCh37} + mkdir -p data/prescored/GRCh37_v1.6/no_anno/ + cd data/prescored/GRCh37_v1.6/no_anno/ + download_variantfile "Downloading prescored SNV without annotations for GRCh37-v1.6 (78 GB)" ${PRESCORE_GRCh37} if [ "$INDELS" = true ] then - download_variantfile "Downloading prescored InDels without annotations for GRCh37-v1.4 (1 GB)" ${PRESCORE_GRCh37_INDEL} + download_variantfile "Downloading prescored InDels without annotations for GRCh37-v1.6 (0.6 GB)" ${PRESCORE_GRCh37_INDEL} fi cd $OLDPWD fi if [ "$INCANNO" = true ] then - mkdir -p data/prescored/GRCh37_v1.4/incl_anno/ - cd data/prescored/GRCh37_v1.4/incl_anno/ - download_variantfile "Downloading prescored SNV inclusive annotations for GRCh37-v1.4 (231 GB)" ${PRESCORE_INCANNO_GRCh37} + mkdir -p data/prescored/GRCh37_v1.6/incl_anno/ + cd data/prescored/GRCh37_v1.6/incl_anno/ + download_variantfile "Downloading prescored SNV inclusive annotations for GRCh37-v1.6 (248 GB)" ${PRESCORE_INCANNO_GRCh37} if [ "$INDELS" = true ] then - download_variantfile "Downloading prescored InDels inclusive annotations for GRCh37-v1.4 (3 GB)" ${PRESCORE_INCANNO_GRCh37_INDEL} + download_variantfile "Downloading prescored InDels inclusive annotations for GRCh37-v1.6 (3.4 GB)" ${PRESCORE_INCANNO_GRCh37_INDEL} fi cd $OLDPWD fi @@ -303,63 +253,17 @@ then if [ "$ANNOTATIONS" = true ] then - echo "Downloading CADD annotations for GRCh38-v1.4 (194 GB)" + echo "Downloading CADD annotations for GRCh38-v1.6 (196 GB)" mkdir -p data/annotations/ cd data/annotations/ wget -c $ANNOTATION_GRCh38 -O annotationsGRCh38.tar.gz wget $ANNOTATION_GRCh38.md5 -O annotationsGRCh38.tar.gz.md5 md5sum -c annotationsGRCh38.tar.gz.md5 - echo "Unpacking CADD annotations for GRCh38-v1.4" - tar -zxf annotationsGRCh38.tar.gz - rm annotationsGRCh38.tar.gz - rm annotationsGRCh38.tar.gz.md5 - mv GRCh38 GRCh38_v1.4 - cd $OLDPWD - fi - - if [ "$PRESCORE" = true ] - then - if [ "$NOANNO" = true ] - then - mkdir -p data/prescored/GRCh38_v1.4/no_anno/ - cd data/prescored/GRCh38_v1.4/no_anno/ - download_variantfile "Downloading prescored SNV without annotations for GRCh38-v1.4 (79 GB)" ${PRESCORE_GRCh38} - if [ "$INDELS" = true ] - then - download_variantfile "Downloading prescored InDels without annotations for GRCh38-v1.4 (1 GB)" ${PRESCORE_GRCh38_INDEL} - fi - cd $OLDPWD - fi - - if [ "$INCANNO" = true ] - then - mkdir -p data/prescored/GRCh38_v1.4/incl_anno/ - cd data/prescored/GRCh38_v1.4/incl_anno/ - download_variantfile "Downloading prescored SNV inclusive annotations for GRCh38-v1.4 (323 GB)" ${PRESCORE_INCANNO_GRCh38} - if [ "$INDELS" = true ] - then - download_variantfile "Downloading prescored InDels inclusive annotations for GRCh38-v1.4 (9 GB)" ${PRESCORE_INCANNO_GRCh38_INDEL} - fi - cd $OLDPWD - fi - fi -fi - -if [ "$GRCh38v15" = true ] -then - - if [ "$ANNOTATIONS" = true ] - then - echo "Downloading CADD annotations for GRCh38-v1.5 (168 GB)" - mkdir -p data/annotations/ - cd data/annotations/ - wget -c ${ANNOTATION_GRCh38v15} -O annotationsGRCh38.tar.gz - wget ${ANNOTATION_GRCh38v15}.md5 -O annotationsGRCh38.tar.gz.md5 - md5sum -c annotationsGRCh38.tar.gz.md5 - echo "Unpacking CADD annotations for GRCh38-v1.5" + echo "Unpacking CADD annotations for GRCh38-v1.6" tar -zxf annotationsGRCh38.tar.gz rm annotationsGRCh38.tar.gz rm annotationsGRCh38.tar.gz.md5 + mv GRCh38 GRCh38_v1.6 cd $OLDPWD fi @@ -367,24 +271,24 @@ then then if [ "$NOANNO" = true ] then - mkdir -p data/prescored/GRCh38_v1.5/no_anno/ - cd data/prescored/GRCh38_v1.5/no_anno/ - download_variantfile "Downloading prescored SNV without annotations for GRCh38-v1.5 (80 GB)" ${PRESCORE_GRCh38v15} + mkdir -p data/prescored/GRCh38_v1.6/no_anno/ + cd data/prescored/GRCh38_v1.6/no_anno/ + download_variantfile "Downloading prescored SNV without annotations for GRCh38-v1.6 (81 GB)" ${PRESCORE_GRCh38} if [ "$INDELS" = true ] then - download_variantfile "Downloading prescored InDels without annotations for GRCh38-v1.5 (1 GB)" ${PRESCORE_GRCh38v15_INDEL} + download_variantfile "Downloading prescored InDels without annotations for GRCh38-v1.6 (1 GB)" ${PRESCORE_GRCh38_INDEL} fi cd $OLDPWD fi if [ "$INCANNO" = true ] then - mkdir -p data/prescored/GRCh38_v1.5/incl_anno/ - cd data/prescored/GRCh38_v1.5/incl_anno/ - download_variantfile "Downloading prescored SNV inclusive annotations for GRCh38-v1.5 (292 GB)" ${PRESCORE_INCANNO_GRCh38v15} + mkdir -p data/prescored/GRCh38_v1.6/incl_anno/ + cd data/prescored/GRCh38_v1.6/incl_anno/ + download_variantfile "Downloading prescored SNV inclusive annotations for GRCh38-v1.6 (313 GB)" ${PRESCORE_INCANNO_GRCh38} if [ "$INDELS" = true ] then - download_variantfile "Downloading prescored InDels inclusive annotations for GRCh38-v1.5 (9 GB)" ${PRESCORE_INCANNO_GRCh38v15_INDEL} + download_variantfile "Downloading prescored InDels inclusive annotations for GRCh38-v1.6 (7 GB)" ${PRESCORE_INCANNO_GRCh38_INDEL} fi cd $OLDPWD fi From 4f2aa374de1231856ff28b14dc374e5c0de51d38 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Thu, 26 Mar 2020 14:32:20 +0100 Subject: [PATCH 19/27] update data ignore policy --- .gitignore | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.gitignore b/.gitignore index 2b6d4cb..a792239 100644 --- a/.gitignore +++ b/.gitignore @@ -1,8 +1,8 @@ # data folders -data/* +data/prescored/* +data/annotations/* input/* output/* -config/* # compiled files *.pyc From e452ec6ef70339d1f08329c3245f3b54b51ee184 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Thu, 26 Mar 2020 16:18:11 +0100 Subject: [PATCH 20/27] fix install environments --- install.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/install.sh b/install.sh index 5618c41..73c52b5 100755 --- a/install.sh +++ b/install.sh @@ -186,7 +186,7 @@ esac if [ "$ENV" = true ] then echo "Setting up virtual environments for CADD v1.6" - snakemake test/input.vcf --use-conda --create-envs-only --conda-prefix envs \ + snakemake test/input.tsv.gz --use-conda --create-envs-only --conda-prefix envs \ --configfile config/config_GRCh38_v1.6.yml --snakefile Snakefile fi From 31a6ba68ce84bbcce39bdaa27b987a8cc128dc3b Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Fri, 27 Mar 2020 00:00:48 +0100 Subject: [PATCH 21/27] fix annotation name checks --- install.sh | 26 ++++++++++++-------------- 1 file changed, 12 insertions(+), 14 deletions(-) diff --git a/install.sh b/install.sh index 73c52b5..03b2297 100755 --- a/install.sh +++ b/install.sh @@ -209,14 +209,13 @@ then echo "Downloading CADD annotations for GRCh37-v1.6 (121 GB)" mkdir -p data/annotations/ cd data/annotations/ - wget -c ${ANNOTATION_GRCh37} -O annotationsGRCh37.tar.gz - wget ${ANNOTATION_GRCh37}.md5 -O annotationsGRCh37.tar.gz.md5 - md5sum -c annotationsGRCh37.tar.gz.md5 + wget -c ${ANNOTATION_GRCh37} -O annotationsGRCh37_v1.6.tar.gz + wget ${ANNOTATION_GRCh37}.md5 -O annotationsGRCh37_v1.6.tar.gz.md5 + md5sum -c annotationsGRCh37_v1.6.tar.gz.md5 echo "Unpacking CADD annotations for GRCh37-v1.6" - tar -zxf annotationsGRCh37.tar.gz - rm annotationsGRCh37.tar.gz - rm annotationsGRCh37.tar.gz.md5 - mv GRCh37 GRCh37_v1.6 + tar -zxf annotationsGRCh37_v1.6.tar.gz + rm annotationsGRCh37_v1.6.tar.gz + rm annotationsGRCh37_v1.6.tar.gz.md5 cd $OLDPWD fi @@ -256,14 +255,13 @@ then echo "Downloading CADD annotations for GRCh38-v1.6 (196 GB)" mkdir -p data/annotations/ cd data/annotations/ - wget -c $ANNOTATION_GRCh38 -O annotationsGRCh38.tar.gz - wget $ANNOTATION_GRCh38.md5 -O annotationsGRCh38.tar.gz.md5 - md5sum -c annotationsGRCh38.tar.gz.md5 + wget -c $ANNOTATION_GRCh38 -O annotationsGRCh38_v1.6.tar.gz + wget $ANNOTATION_GRCh38.md5 -O annotationsGRCh38_v1.6.tar.gz.md5 + md5sum -c annotationsGRCh38_v1.6.tar.gz.md5 echo "Unpacking CADD annotations for GRCh38-v1.6" - tar -zxf annotationsGRCh38.tar.gz - rm annotationsGRCh38.tar.gz - rm annotationsGRCh38.tar.gz.md5 - mv GRCh38 GRCh38_v1.6 + tar -zxf annotationsGRCh38_v1.6.tar.gz + rm annotationsGRCh38_v1.6.tar.gz + rm annotationsGRCh38_v1.6.tar.gz.md5 cd $OLDPWD fi From 7e555807fafd03e70b1ae360a8b8e13d71819af0 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Fri, 27 Mar 2020 00:32:31 +0100 Subject: [PATCH 22/27] updated test output files to v1.6 --- test/output_GRCh37.tsv.gz | Bin 305 -> 304 bytes test/output_GRCh38.tsv.gz | Bin 306 -> 307 bytes test/output_inclAnno_GRCh37.tsv.gz | Bin 1362 -> 1390 bytes 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zQVml`R}y1@(oGJg-WBlb;`AgId#HaT=U+_wYoz><_t)ipaL@z1!-*p#EKAnZ1Lb^k z7LF*8%ZX@P!XOG|e zr&8MWds9m#WxRsIoZ^Qotf;Bn`KvSM0{#KaLlu>HFO`p^ Date: Thu, 2 Apr 2020 11:59:27 +0200 Subject: [PATCH 23/27] added snakemake --cores argument --- CADD.sh | 10 +++++++--- install.sh | 2 +- 2 files changed, 8 insertions(+), 4 deletions(-) diff --git a/CADD.sh b/CADD.sh index 7dd99c7..fa54738 100755 --- a/CADD.sh +++ b/CADD.sh @@ -11,6 +11,7 @@ where: input vcf of vcf.gz file (required) -q print basic information about snakemake run -p print full information about the snakemake run + -c number of cores that snakemake is allowed to use [default: 1] " unset OPTARG @@ -22,7 +23,8 @@ ANNOTATION=false OUTFILE="" VERSION="v1.6" VERBOSE="-q" -while getopts ':ho:g:v:aqp' option; do +CORES="1" +while getopts ':ho:g:v:c:aqp' option; do case "$option" in h) echo "$usage" exit @@ -33,6 +35,8 @@ while getopts ':ho:g:v:aqp' option; do ;; v) VERSION=$OPTARG ;; + v) CORES=$OPTARG + ;; a) ANNOTATION=true ;; q) VERBOSE="" @@ -106,9 +110,9 @@ TMP_OUTFILE=$TMP_FOLDER/$NAME.tsv.gz cp $INFILE $TMP_INFILE echo "Running snakemake pipeline:" -echo snakemake $TMP_OUTFILE --use-conda --conda-prefix $CADD/envs +echo snakemake $TMP_OUTFILE --use-conda --conda-prefix $CADD/envs --cores $CORES echo --configfile $CONFIG --snakefile $CADD/Snakefile $VERBOSE -snakemake $TMP_OUTFILE --use-conda --conda-prefix $CADD/envs \ +snakemake $TMP_OUTFILE --use-conda --conda-prefix $CADD/envs --cores $CORES \ --configfile $CONFIG --snakefile $CADD/Snakefile $VERBOSE mv $TMP_OUTFILE $OUTFILE diff --git a/install.sh b/install.sh index 03b2297..6c6e800 100755 --- a/install.sh +++ b/install.sh @@ -187,7 +187,7 @@ if [ "$ENV" = true ] then echo "Setting up virtual environments for CADD v1.6" snakemake test/input.tsv.gz --use-conda --create-envs-only --conda-prefix envs \ - --configfile config/config_GRCh38_v1.6.yml --snakefile Snakefile + --cores 1 --configfile config/config_GRCh38_v1.6.yml --snakefile Snakefile fi # download a file and it index and check both md5 sums From 44ff67639ab65103522df1f848bc360b114d4889 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Thu, 2 Apr 2020 12:17:31 +0200 Subject: [PATCH 24/27] update readme info about snakemake version --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index d6d0a3a..7c22ed2 100644 --- a/README.md +++ b/README.md @@ -37,10 +37,10 @@ export PATH=$HOME/miniconda2/bin:$PATH ``` - snakemake (installed via conda) ```bash -conda install snakemake +conda install -c conda-forge -c bioconda snakemake ``` -*Note2: If you are using an existing conda installation, please make sure it is [a version >=4.4.0](https://github.com/conda/conda/issues/3200).* +*Note2: If you are using an existing conda installation, please make sure it is [a version >=4.4.0](https://github.com/conda/conda/issues/3200). Make also sure to use snakemake >= 4.0 as some command line parameters are not available in earlier versions. * ### Setup From c5ae0657b5ff01d978054e526a70b61210545dbc Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Wed, 8 Apr 2020 12:05:14 +0200 Subject: [PATCH 25/27] made MMSplice tabix annotation and fixed SpliceAI for deletions --- Snakefile | 28 ++----------------- config/config_GRCh37_v1.6.yml | 4 --- config/config_GRCh37_v1.6_noanno.yml | 4 --- config/config_GRCh38_v1.6.yml | 4 --- config/config_GRCh38_v1.6_noanno.yml | 4 --- config/references_GRCh37_v1.6.cfg | 2 +- config/references_GRCh38_v1.6.cfg | 2 +- src/scripts/lib/Annotations.py | 41 ++++++++++++++++------------ 8 files changed, 28 insertions(+), 61 deletions(-) diff --git a/Snakefile b/Snakefile index 9e9cb7b..0543b35 100644 --- a/Snakefile +++ b/Snakefile @@ -47,9 +47,9 @@ rule prescore: mv {input} {output.novel} ''' -rule vep: +rule annotation: input: '{file}.novel.vcf' - output: temp('{file}.vep.vcf.gz') + output: temp('{file}.anno.tsv.gz') conda: 'envs/environment.yml' shell: ''' @@ -59,30 +59,6 @@ rule vep: --db_version={config[EnsemblDB]} --assembly {config[GenomeBuild]} \ --format vcf --regulatory --sift b --polyphen b --per_gene --ccds --domains \ --numbers --canonical --total_length --vcf --force_overwrite --output_file STDOUT \ - | bgzip -c > {output} - ''' - -rule mmsplice: - input: '{file}.vep.vcf.gz' - output: temp('{file}.mmsplice.vcf') - conda: 'envs/environment3.yml' - shell: - ''' - tabix -p vcf {input} -f - python3 $CADD/src/scripts/MMSplice.py -i {input} \ - -g $CADD/{config[ReferenceGTF]} \ - -f $CADD/{config[ReferenceFasta]} \ - | grep -v '^Variant(CHROM=' > {output} - rm {input}.tbi - ''' - -rule annotation: - input: '{file}.mmsplice.vcf' - output: temp('{file}.anno.tsv.gz') - conda: 'envs/environment.yml' - shell: - ''' - cat {input} \ | python $CADD/src/scripts/annotateVEPvcf.py \ -c $CADD/{config[ReferenceConfig]} \ | gzip -c > {output} diff --git a/config/config_GRCh37_v1.6.yml b/config/config_GRCh37_v1.6.yml index f36b729..8a28585 100644 --- a/config/config_GRCh37_v1.6.yml +++ b/config/config_GRCh37_v1.6.yml @@ -13,10 +13,6 @@ ImputeConfig: config/impute_GRCh37_v1.6.cfg Model: data/models/GRCh37/CADDv1.6-GRCh37.mod ConversionTable: data/models/GRCh37/conversionTable_CADDv1.6-GRCh37.txt -# MMSplice config -ReferenceGTF: data/annotations/GRCh37_v1.6/mmsplice/Homo_sapiens.GRCh37.gtf -ReferenceFasta: data/annotations/GRCh37_v1.6/reference/reference.fa - # VEP VEPpath: data/annotations/GRCh37_v1.6/vep EnsemblDB: 95 diff --git a/config/config_GRCh37_v1.6_noanno.yml b/config/config_GRCh37_v1.6_noanno.yml index 3458f08..36b40b2 100644 --- a/config/config_GRCh37_v1.6_noanno.yml +++ b/config/config_GRCh37_v1.6_noanno.yml @@ -13,10 +13,6 @@ ImputeConfig: config/impute_GRCh37_v1.6.cfg Model: data/models/GRCh37/CADDv1.6-GRCh37.mod ConversionTable: data/models/GRCh37/conversionTable_CADDv1.6-GRCh37.txt -# MMSplice config -ReferenceGTF: data/annotations/GRCh37_v1.6/mmsplice/Homo_sapiens.GRCh37.gtf -ReferenceFasta: data/annotations/GRCh37_v1.6/reference/reference.fa - # VEP VEPpath: data/annotations/GRCh37_v1.6/vep EnsemblDB: 95 diff --git a/config/config_GRCh38_v1.6.yml b/config/config_GRCh38_v1.6.yml index 92a5653..e948a4a 100644 --- a/config/config_GRCh38_v1.6.yml +++ b/config/config_GRCh38_v1.6.yml @@ -13,10 +13,6 @@ ImputeConfig: config/impute_GRCh38_v1.6.cfg Model: data/models/GRCh38/CADDv1.6-GRCh38.mod ConversionTable: data/models/GRCh38/conversionTable_CADDv1.6-GRCh38.txt -# MMSplice config -ReferenceGTF: data/annotations/GRCh38_v1.6/mmsplice/Homo_sapiens.GRCh38.gtf -ReferenceFasta: data/annotations/GRCh38_v1.6/reference/reference.fa - # VEP VEPpath: data/annotations/GRCh38_v1.6/vep EnsemblDB: 95 diff --git a/config/config_GRCh38_v1.6_noanno.yml b/config/config_GRCh38_v1.6_noanno.yml index e15354c..ae915de 100644 --- a/config/config_GRCh38_v1.6_noanno.yml +++ b/config/config_GRCh38_v1.6_noanno.yml @@ -13,10 +13,6 @@ ImputeConfig: config/impute_GRCh38_v1.6.cfg Model: data/models/GRCh38/CADDv1.6-GRCh38.mod ConversionTable: data/models/GRCh38/conversionTable_CADDv1.6-GRCh38.txt -# MMSplice config -ReferenceGTF: data/annotations/GRCh38_v1.6/mmsplice/Homo_sapiens.GRCh38.gtf -ReferenceFasta: data/annotations/GRCh38_v1.6/reference/reference.fa - # VEP VEPpath: data/annotations/GRCh38_v1.6/vep EnsemblDB: 95 diff --git a/config/references_GRCh37_v1.6.cfg b/config/references_GRCh37_v1.6.cfg index 4933be5..4f37d49 100644 --- a/config/references_GRCh37_v1.6.cfg +++ b/config/references_GRCh37_v1.6.cfg @@ -44,5 +44,5 @@ MutationDensity100 = /mutation_density/mutDensity_gnomAD/variant_density.gnomad. MutationDensity1000 = /mutation_density/mutDensity_gnomAD/variant_density.gnomad.2.0.1.1000.bg.gz MutationDensity10000 = /mutation_density/mutDensity_gnomAD/variant_density.gnomad.2.0.1.10000.bg.gz dbscSNV = /dbscSNV/dbscSNV1.1_GRCh37.txt.gz -MMSplice = True +MMSpliceTabix = /mmsplice/mmsplice-all-GRCh37.tsv.gz SpliceAITabix = /spliceai/spliceai_scores.masked.all.hg19.tsv.gz diff --git a/config/references_GRCh38_v1.6.cfg b/config/references_GRCh38_v1.6.cfg index 53135b3..f340502 100644 --- a/config/references_GRCh38_v1.6.cfg +++ b/config/references_GRCh38_v1.6.cfg @@ -47,5 +47,5 @@ PhyloP = /phyloP/hg38.phyloP.bg.gz bStatistic = /bscores/bscores_hg38.bed.gz dbscSNV = /dbscSNV/dbscSNV1.1_GRCh38.txt.gz RemapOverlap = /Remap/ReMap2_overlap_hg38.bg.gz -MMSplice = True +MMSpliceTabix = /mmsplice/mmsplice-all-GRCh38.tsv.gz SpliceAITabix = /spliceai/spliceai_scores.masked.all.hg38.tsv.gz diff --git a/src/scripts/lib/Annotations.py b/src/scripts/lib/Annotations.py index 42a7522..79aa4f9 100644 --- a/src/scripts/lib/Annotations.py +++ b/src/scripts/lib/Annotations.py @@ -45,11 +45,14 @@ class PosTabixAnnotation(TabixAnnotation): # Annotation for this exact position and not the variants whole range def _retrieve(self, res): - self.tabix = get_from_tabix(self.tabix, - res['Chrom'], - res['Pos'], - continuous=self.continuous, - zerobased=self.zerobased) + self.tabix = get_range_from_tabix(self.tabix, + res['Chrom'], + res['Pos'], + res['Pos'], + rangescore=self.rangescore, + continuous=self.continuous, + multirange=self.multirange, + zerobased=self.zerobased) self.score = self.tabix[6] def maxL(valuelist): @@ -799,7 +802,7 @@ class Grantham(AACombination): name = 'Grantham' consequence = True -class SpliceAITabix(TabixAnnotation): +class SpliceAITabix(PosTabixAnnotation): name='SpliceAITabix' features = ['SpliceAI-acc-gain', 'SpliceAI-acc-loss', 'SpliceAI-don-gain', 'SpliceAI-don-loss'] consequence = True @@ -815,19 +818,23 @@ def _get_score(self, res): break return res -class MMSplice(Annotation): - name = 'MMSplice' +class MMSpliceTabix(PosTabixAnnotation): + name = 'MMSpliceTabix' features = ['MMSp_acceptorIntron', 'MMSp_acceptor', 'MMSp_exon', 'MMSp_donor', 'MMSp_donorIntron'] consequence = True - def process(self, res): - if 'MMSplice' in res['Info']: - for mmsp in res['Info']['MMSplice']: - fields = mmsp.split('|') - if fields[0] == res['GeneName']: - for i in range(5): - res[self.features[i]] = fields[i+1] - break + def _get_score(self, res): + for hit in self.score: + if hit[2] == res['Ref'] and hit[3] == res['Alt']: + for mmsp in hit[4].split(','): + fields = mmsp.split('|') + if res['GeneName'] == fields[0]: + for num, fea in enumerate(self.features): + if fields[num+1] == '': + res[fea] = '0' + else: + res[fea] = fields[num+1] + break return res class NeighboringMutations(TabixAnnotation): @@ -955,7 +962,7 @@ class RemapOverlap(TabixAnnotation, ScoreHighestPerFeature): EncodetotalRNA(), Grantham(), SpliceAITabix(), - MMSplice(), + MMSpliceTabix(), NeighboringMutations(), MutationDensity100(), MutationDensity1000(), From ee53a1c2600985300c56dbd26e8c6e12cc358db3 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Wed, 8 Apr 2020 23:34:46 +0200 Subject: [PATCH 26/27] remove separate MMSplice script --- envs/environment3.yml | 131 --------------------- envs/environment3_minimal.yml | 21 ---- src/scripts/MMSplice.py | 210 ---------------------------------- 3 files changed, 362 deletions(-) delete mode 100644 envs/environment3.yml delete mode 100644 envs/environment3_minimal.yml delete mode 100644 src/scripts/MMSplice.py diff --git a/envs/environment3.yml b/envs/environment3.yml deleted file mode 100644 index 627464e..0000000 --- a/envs/environment3.yml +++ /dev/null @@ -1,131 +0,0 @@ -name: MMSplice -channels: - - bioconda - - r - - defaults - - conda-forge -dependencies: - - _libgcc_mutex=0.1=conda_forge - - _openmp_mutex=4.5=0_gnu - - absl-py=0.9.0=py36_0 - - astor=0.7.1=py_0 - - binutils_impl_linux-64=2.34=h53a641e_0 - - binutils_linux-64=2.34=hc952b39_18 - - blas=1.1=openblas - - bzip2=1.0.8=h516909a_2 - - c-ares=1.15.0=h516909a_1001 - - ca-certificates=2019.11.28=hecc5488_0 - - certifi=2019.11.28=py36h9f0ad1d_1 - - click=7.1.1=pyh8c360ce_0 - - coloredlogs=14.0=py36h9f0ad1d_1 - - curl=7.68.0=hf8cf82a_0 - - cython=0.29.13=py36he1b5a44_0 - - cyvcf2=0.11.6=py36hce88a48_0 - - gast=0.3.3=py_0 - - gcc_impl_linux-64=7.3.0=hd420e75_5 - - gcc_linux-64=7.3.0=h553295d_18 - - grpcio=1.23.0=py36h769ab6c_1 - - gxx_impl_linux-64=7.3.0=hdf63c60_5 - - gxx_linux-64=7.3.0=h553295d_18 - - h5py=2.10.0=nompi_py36h513d04c_102 - - hdf5=1.10.5=nompi_h3c11f04_1104 - - htslib=1.9=h4da6232_3 - - humanfriendly=8.1=py36h9f0ad1d_1 - - keras=2.2.4=py36_1 - - keras-applications=1.0.8=py_1 - - keras-preprocessing=1.1.0=py_0 - - krb5=1.16.4=h2fd8d38_0 - - ld_impl_linux-64=2.34=h53a641e_0 - - libcurl=7.68.0=hda55be3_0 - - libdeflate=1.5=h516909a_0 - - libedit=3.1.20170329=hf8c457e_1001 - - libffi=3.2.1=he1b5a44_1007 - - libgcc=7.2.0=h69d50b8_2 - - libgcc-ng=9.2.0=h24d8f2e_2 - - libgfortran-ng=7.3.0=hdf63c60_5 - - libgomp=9.2.0=h24d8f2e_2 - - libgpuarray=0.7.6=h14c3975_1003 - - libopenblas=0.3.6=h5a2b251_2 - - libprotobuf=3.11.3=h8b12597_0 - - libssh2=1.8.2=h22169c7_2 - - libstdcxx-ng=9.2.0=hdf63c60_2 - - mako=1.1.0=py_0 - - markdown=3.2.1=py_0 - - markupsafe=1.1.1=py36h8c4c3a4_1 - - natsort=7.0.1=py_0 - - ncls=0.0.53=py36h516909a_0 - - ncurses=6.1=hf484d3e_1002 - - numpy=1.16.1=py36_blas_openblash1522bff_0 - - openblas=0.3.3=h9ac9557_1001 - - openssl=1.1.1e=h516909a_0 - - pandas=1.0.3=py36h830a2c2_0 - - pip=20.0.2=py_2 - - protobuf=3.11.3=py36he1b5a44_0 - - pygpu=0.7.6=py36hc1659b7_1000 - - pyranges=0.0.51=py36h516909a_1 - - pyrle=0.0.31=py36h516909a_0 - - pysam=0.15.4=py36hbcae180_0 - - python=3.6.8=h0371630_0 - - python-dateutil=2.8.1=py_0 - - python_abi=3.6=1_cp36m - - pytz=2019.3=py_0 - - pyyaml=5.3.1=py36h8c4c3a4_0 - - readline=7.0=hf8c457e_1001 - - scikit-learn=0.19.2=py36h22eb022_0 - - scipy=1.2.1=py36_blas_openblash1522bff_0 - - setuptools=46.1.3=py36h9f0ad1d_0 - - six=1.14.0=py_1 - - sorted_nearest=0.0.31=py36hc1659b7_0 - - sqlite=3.28.0=h8b20d00_0 - - tabulate=0.8.7=pyh9f0ad1d_0 - - tensorboard=1.9.0=py36_0 - - tensorflow=1.9.0=py36_0 - - termcolor=1.1.0=py_2 - - theano=1.0.4=py36he1b5a44_1001 - - tk=8.6.10=hed695b0_0 - - werkzeug=1.0.0=py_0 - - wheel=0.34.2=py_1 - - xz=5.2.4=h516909a_1002 - - yaml=0.2.2=h516909a_1 - - zlib=1.2.11=h516909a_1006 - - pip: - - argcomplete==1.11.1 - - argh==0.26.2 - - arrow==0.15.5 - - attrs==19.3.0 - - binaryornot==0.4.4 - - chardet==3.0.4 - - colorlog==4.1.0 - - concise==0.6.8 - - cookiecutter==1.7.0 - - cycler==0.10.0 - - deprecation==2.0.7 - - descartes==1.1.0 - - future==0.18.2 - - gffutils==0.10.1 - - gtfparse==1.2.0 - - idna==2.9 - - importlib-metadata==1.5.1 - - jinja2==2.11.1 - - jinja2-time==0.2.0 - - kipoi==0.6.25 - - kipoi-conda==0.2.2 - - kipoi-utils==0.3.8 - - kipoiseq==0.2.5 - - kiwisolver==1.1.0 - - matplotlib==3.2.1 - - mmsplice==1.0.1 - - packaging==20.3 - - poyo==0.5.0 - - pybedtools==0.8.1 - - pyfaidx==0.5.8 - - pyparsing==2.4.6 - - related==0.7.2 - - requests==2.23.0 - - shapely==1.7.0 - - simplejson==3.17.0 - - tinydb==3.15.2 - - tqdm==4.43.0 - - urllib3==1.25.8 - - whichcraft==0.6.1 - - zipp==3.1.0 diff --git a/envs/environment3_minimal.yml b/envs/environment3_minimal.yml deleted file mode 100644 index d476d9c..0000000 --- a/envs/environment3_minimal.yml +++ /dev/null @@ -1,21 +0,0 @@ -name: MMSplice-minimal -channels: -- bioconda -- conda-forge -- defaults -dependencies: -- python=3.6.8 -- cython=0.29.13 -- pyranges=0.0.51 -- libgcc=7.2.0 -- tensorflow=1.9.0 -- keras=2.2.4 -- numpy=1.16.1 -- scikit-learn=0.19.2 -- cyvcf2 -- pandas -- pysam -- pip -- pip: - - kipoiseq==0.2.5 - - mmsplice==1.0.1 diff --git a/src/scripts/MMSplice.py b/src/scripts/MMSplice.py deleted file mode 100644 index 4c1b1e3..0000000 --- a/src/scripts/MMSplice.py +++ /dev/null @@ -1,210 +0,0 @@ -#!/bin/env python3 - -# Import -from tqdm import tqdm -from concise.preprocessing import encodeDNA -from mmsplice.vcf_dataloader import SplicingVCFDataloader -from mmsplice import MMSplice -from mmsplice.utils import logit, predict_deltaLogitPsi, \ - predict_pathogenicity, predict_splicing_efficiency -import pandas as pd -import numpy as np - -from argparse import ArgumentParser -import sys -import gzip - -def max_geneEff(df): - """ Summarize largest absolute effect per variant per gene across all affected exons. - Similar to mmsplice.utils.max_varEff - Args: - df: result of `predict_all_table` - """ - df_max = df.groupby(['ID', 'gene_name'], as_index=False).agg( - {'delta_logit_psi': lambda x: max(x, key=abs)}) - - df_max = df_max.merge(df, how='left', on=['ID', 'gene_name', 'delta_logit_psi']) - df_max = df_max.drop_duplicates(subset=['ID', 'gene_name', 'delta_logit_psi']) - return df_max - -def predict_batch_fast(model, dataloader, batch_size=512, progress=True, - splicing_efficiency=False): - """ - Return the prediction as a table - Args: - model: mmsplice model object. - dataloader: dataloader object. - progress: show progress bar. - splicing_efficiency: adds splicing_efficiency prediction as column - Returns: - iterator of pd.DataFrame of modular prediction, delta_logit_psi, - splicing_efficiency, pathogenicity. - """ - dataloader.encode = False - dt_iter = dataloader.batch_iter(batch_size=batch_size) - if progress: - dt_iter = tqdm(dt_iter) - - ref_cols = ['ref_acceptorIntron', 'ref_acceptor', - 'ref_exon', 'ref_donor', 'ref_donorIntron'] - alt_cols = ['alt_acceptorIntron', 'alt_acceptor', - 'alt_exon', 'alt_donor', 'alt_donorIntron'] - - cat_list = ['acceptor_intron', 'acceptor', 'exon', 'donor', 'donor_intron'] - cats = {'acceptor_intron': lambda x: model.acceptor_intronM.predict(x), - 'acceptor': lambda x: logit(model.acceptorM.predict(x)), - 'exon': lambda x: model.exonM.predict(x), - 'donor': lambda x: logit(model.donorM.predict(x)), - 'donor_intron': lambda x: model.donor_intronM.predict(x)} - - for batch in dt_iter: - refs,alts = {},{} - for cat, model_eval in cats.items(): - alterations = batch['inputs']['seq'][cat] != \ - batch['inputs']['mut_seq'][cat] - if np.any(alterations): - sequences = list(set([str(s) for s in list(batch['inputs']['seq'][cat][alterations]) + \ - list(batch['inputs']['mut_seq'][cat][alterations])])) - prediction = model_eval(encodeDNA(sequences)).flatten() - pred_dict = {s: p for s, p in zip(sequences, prediction)} - - refs[cat] = [pred_dict[batch['inputs']['seq'][cat][i]] \ - if a else 0 for i, a in enumerate(alterations)] - alts[cat] = [pred_dict[batch['inputs']['mut_seq'][cat][i]] \ - if a else 0 for i, a in enumerate(alterations)] - else: - refs[cat] = [0] * len(alterations) - alts[cat] = [0] * len(alterations) - X_ref = np.array([refs[cat] for cat in cat_list]).T - X_alt = np.array([alts[cat] for cat in cat_list]).T - ref_pred = pd.DataFrame(X_ref, columns=ref_cols) - alt_pred = pd.DataFrame(X_alt, columns=alt_cols) - - df = pd.DataFrame({ - 'ID': batch['metadata']['variant']['STR'], - 'exons': batch['metadata']['exon']['annotation'], - }) - for k in ['exon_id', 'gene_id', 'gene_name', 'transcript_id']: - if k in batch['metadata']['exon']: - df[k] = batch['metadata']['exon'][k] - - df['delta_logit_psi'] = predict_deltaLogitPsi(X_ref, X_alt) - df = pd.concat([df, ref_pred, alt_pred], axis=1) - - # pathogenicity does not work - #if pathogenicity: - # df['pathogenicity'] = predict_pathogenicity(X_ref, X_alt) - - if splicing_efficiency: - df['efficiency'] = predict_splicing_efficiency(X_ref, X_alt) - - yield df - -def predict_table_fast(model, - dataloader, - batch_size=512, - progress=True, - pathogenicity=False, - splicing_efficiency=False): - """ - Return the prediction as a table - Args: - model: mmsplice model object. - dataloader: dataloader object. - progress: show progress bar. - splicing_efficiency: adds splicing_efficiency prediction as column - Returns: - pd.DataFrame of modular prediction, delta_logit_psi, splicing_efficiency, - pathogenicity. - """ - return pd.concat(predict_batch_fast(model, dataloader, batch_size=batch_size, - progress=progress, - splicing_efficiency=splicing_efficiency)) - -parser = ArgumentParser(description="%prog name") -parser.add_argument("-o", "--output", dest="output", type=str, - help="Output vcf file {default stdout}") -parser.add_argument("-i", "--input", dest="input", type=str, required=True, - help="Input vcf.gz file") -parser.add_argument("-f", "--fasta", dest="fasta", type=str, required=True, - help="Genome fasta") -parser.add_argument("-g" "--gtf", dest="gtf", type=str, required=True, - help="GTF file with all exons (may be the pickled version output by the script)") -parser.add_argument("-d", "--detail", dest="detail", action='store_true', - help="Do not report submodel score differences but delta_logit_psi and ref and alt scores separately") - -args = parser.parse_args() - -dl = SplicingVCFDataloader(args.gtf, - args.fasta, - args.input) - -# Specify model -model = MMSplice() - -try: - # Do prediction - predictions = predict_table_fast(model, dl, batch_size=512) - - # Summerize with maximum effect size - predictionsMax = max_geneEff(predictions) - - pred_dict = {} - for p in predictionsMax[['ID', 'gene_name', 'delta_logit_psi', 'ref_acceptorIntron', 'ref_acceptor', 'ref_exon', 'ref_donor', 'ref_donorIntron', 'alt_acceptorIntron', 'alt_acceptor', 'alt_exon', 'alt_donor', 'alt_donorIntron']].values: - if p[0] in pred_dict: - pred_dict[p[0]].append(p[1:]) - else: - pred_dict[p[0]] = [p[1:]] -except ValueError: # it can happen that no variant is in a splice region an therefore recieves a score leading to an empty array - pred_dict = {} - -if args.output: - writer = gzip.open(args.output, 'wt') -else: - writer = sys.stdout - -# write prediction to stdout or file -with gzip.open(args.input, 'rt') as reader: - if args.detail: - for line in reader: - if line.startswith("#"): - if line.startswith('#C'): - writer.write('##INFO=\n') - - writer.write(line) - continue - fields = line.strip().split('\t') - var = "%s:%s:%s:['%s']" % (fields[0], fields[1], fields[3], fields[4]) - if var in pred_dict: - val_list = [] - for p in pred_dict[var]: - val_list.append('|'.join([p[0]] + ['%.3f' % p for p in p[1:]])) - val = ','.join(val_list) - if len(fields) >= 8: - fields[7] = fields[7] + ';MMSplice=' + val - else: - fields.extend(['.']*(7 - len(fields))) - fields.append('MMSplice=' + val) - writer.write('\t'.join(fields) + '\n') - else: - for line in reader: - if line.startswith("#"): - if line.startswith('#C'): - writer.write('##INFO=\n') - - writer.write(line) - continue - fields = line.strip().split('\t') - var = "%s:%s:%s:['%s']" % (fields[0], fields[1], fields[3], fields[4]) - if var in pred_dict: - val_list = [] - for p in pred_dict[var]: - scores = [p[i+7] - p[i+2] for i in range(5)] - val_list.append('|'.join([p[0]] + ['%.3f' % s for s in scores])) - val = ','.join(val_list) - if len(fields) >= 8: - fields[7] = fields[7] + ';MMSplice=' + val - else: - fields.extend(['.']*(7 - len(fields))) - fields.append('MMSplice=' + val) - writer.write('\t'.join(fields) + '\n') From 0a31de38e3d061c21b4d43c806f9278db46b4868 Mon Sep 17 00:00:00 2001 From: Philipp Rentzsch Date: Thu, 9 Apr 2020 17:19:28 +0200 Subject: [PATCH 27/27] fix prescoring --- Snakefile | 2 +- src/scripts/extract_scored.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/Snakefile b/Snakefile index 0543b35..da942ac 100644 --- a/Snakefile +++ b/Snakefile @@ -37,7 +37,7 @@ rule prescore: do cat {input} \ | python $CADD/src/scripts/extract_scored.py --header \ - -p $CADD/$PRESCORED --found_out={output.prescored}.tmp \ + -p $PRESCORED --found_out={output.prescored}.tmp \ > {input}.tmp; cat {output.prescored}.tmp >> {output.prescored} mv {input}.tmp {input}; diff --git a/src/scripts/extract_scored.py b/src/scripts/extract_scored.py index a27a036..cdda0d8 100755 --- a/src/scripts/extract_scored.py +++ b/src/scripts/extract_scored.py @@ -53,7 +53,7 @@ lref,allele = fields[-2],fields[-1] for regionHit in regionTabix.fetch(chrom, pos-1, pos): vfields = regionHit.rstrip().split('\t') - if (vfields[fref] == lref) and (vfields[falt] == allele) and (vfields[fpos] == pos): + if (vfields[fref] == lref) and (vfields[falt] == allele) and (vfields[fpos] == fields[1]): found_out.write(regionHit+"\n") found = True break