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Snakefile
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#configfile: "config.yaml"
config.file: "/vortexfs1/omics/alexander/shu/eukheist-vent/EukHeist/config.yaml"
import io
import os
import pandas as pd
import numpy as np
import pathlib
from snakemake.exceptions import print_exception, WorkflowError
#----SET VARIABLES----#
METAG_ACCESSION = config["metaG_accession"]
METAT_ACCESSION = config["metaT_accession"]
METAG_SAMPLES = pd.read_table(config["metaG_ena_table"])
METAT_SAMPLES = pd.read_table(config["metaT_ena_table"])
INPUTDIR = config["inputDIR"]
ADAPTERS = config["adapters"]
METAG_STUDY = list(set(METAG_SAMPLES["study_accession"].tolist()))
METAT_STUDY = list(set(METAT_SAMPLES["study_accession"].tolist()))
SCRATCHDIR = config["scratch"]
OUTPUTDIR = config["outputDIR"]
METAG_SAMPLELIST = pd.read_table(config["metaG_sample_list"], index_col="Assembly_group")
METAG_ASSEMBLYGROUP = list(METAG_SAMPLELIST.index)
METAT_SAMPLELIST = pd.read_table(config["metaT_sample_list"], index_col="Assembly_group")
METAT_ASSEMBLYGROUP= list(METAT_SAMPLELIST.index)
ASSEMBLYGROUP = METAG_ASSEMBLYGROUP
#----COMPUTE VAR----#
MEGAHIT_CPU = config["megahit_cpu"]
MEGAHIT_MIN_CONTIG = config["megahit_min_contig"]
MEGAHIT_MEM = config["megahit_mem"]
MEGAHIT_OTHER = config["megahit_other"]
#----ACCESSION NUMS----#
metaG_run_accession = list(METAG_SAMPLES.run_accession)
metaT_run_accession = list(METAT_SAMPLES.run_accession)
#----FUNCTIONS----#
def identify_read_groups(assembly_group_name, STUDY, FORWARD=True):
outlist=[]
ERR_list = METAG_SAMPLELIST.loc[assembly_group_name, 'ERR_list'].split(', ')
if FORWARD:
num = 1
else:
num = 2
for E in ERR_list:
outlist.append(SCRATCHDIR + "/trimmed/{}/{}_{}.trimmed.fastq.gz".format(STUDY,E, num))
return(outlist)
def get_sample_list(assembly_group, SAMPLELIST, STUDY):
outlist = []
for assembly_group_name in assembly_group:
ERR_list = SAMPLELIST.loc[assembly_group_name, 'ERR_list'].split(', ')
for E in ERR_list:
out = SCRATCHDIR + "/mapping/{}/{}/{}.bam".format(assembly_group_name,STUDY, E)
outlist.append(out)
return(outlist)
def get_sample_list_onegroup(assembly_group_name, SAMPLELIST, STUDY):
outlist = []
ERR_list = SAMPLELIST.loc[assembly_group_name, 'ERR_list'].split(', ')
for E in ERR_list:
out = SCRATCHDIR + "/mapping/{}/{}/{}.bam".format(assembly_group_name, STUDY, E)
outlist.append(out)
return(outlist)
#----QC DATA FILE----#
assert(len(METAT_STUDY)==1), 'This metaT ena table contains more than one study accession'
assert(len(METAG_STUDY)==1), 'This metaG ena table contains more than one study accession'
assert(METAG_STUDY[0]==METAG_ACCESSION), 'The study accession provided in the config file does not match the study accession provided in the metaG ena table.'
assert(METAT_STUDY[0]==METAT_ACCESSION), 'The study accession provided in the config file does not match the study accession provided in the ena table.'
#assert(np.all(METAG_SAMPLELIST.index == METAT_SAMPLELIST.index)), 'The sample list provided for the MetaG does not match the MetaT'
pathlib.Path(OUTPUTDIR).mkdir(parents=True, exist_ok=True)
#----DEFINE RULES----#
localrules: multiqc, copy_bwa_index
rule all:
input:
# QC DATA
fastqcZIP_rawG = expand("{base}/qc/fastqc/{study}/{sample}_{num}_fastqc.zip", base = OUTPUTDIR, study = METAG_ACCESSION, sample=metaG_run_accession, num = [1,2]),
fastqcZIP_rawT = expand("{base}/qc/fastqc/{study}/{sample}_{num}_fastqc.zip", base = OUTPUTDIR, study = METAT_ACCESSION, sample=metaT_run_accession, num = [1,2]),
fastqcZIP_trimmedG = expand("{base}/qc/fastqc/{study}/{sample}_{num}.trimmed_fastqc.zip", base = OUTPUTDIR, study = METAG_ACCESSION, sample=metaG_run_accession, num = [1,2]),
fastqcZIP_trimmedT = expand("{base}/qc/fastqc/{study}/{sample}_{num}.trimmed_fastqc.zip", base = OUTPUTDIR, study = METAT_ACCESSION, sample=metaT_run_accession, num = [1,2]),
#MULTIQC
html_rawG = OUTPUTDIR + "/qc/rawG_multiqc.html",
stats_rawG = OUTPUTDIR + "/qc/rawG_multiqc_general_stats.txt",
html_trimmedG = OUTPUTDIR + "/qc/trimmedG_multiqc.html",
stats_trimmedG = OUTPUTDIR + "/qc/trimmedG_multiqc_general_stats.txt",
html_rawT = OUTPUTDIR + "/qc/rawT_multiqc.html",
stats_rawT = OUTPUTDIR + "/qc/rawT_multiqc_general_stats.txt",
html_trimmedT = OUTPUTDIR + "/qc/trimmedT_multiqc.html",
stats_trimmedT = OUTPUTDIR + "/qc/trimmedT_multiqc_general_stats.txt",
#TRIM DATA
trimmedDataG = expand("{base}/trimmed/{study}/{sample}_{num}.trimmed.fastq.gz", base = SCRATCHDIR, study = METAG_ACCESSION, sample=metaG_run_accession, num = [1,2]),
trimmedDataT = expand("{base}/trimmed/{study}/{sample}_{num}.trimmed.fastq.gz", base = SCRATCHDIR, study = METAT_ACCESSION, sample=metaT_run_accession, num = [1,2]),
#CALCULATE SOURMASH
signatureG = expand("{base}/sourmash/{study}/{sample}.10k.sig", base = SCRATCHDIR, study = METAG_ACCESSION, sample = metaG_run_accession),
signatureT = expand("{base}/sourmash/{study}/{sample}.10k.sig", base = SCRATCHDIR, study = METAT_ACCESSION, sample = metaT_run_accession),
#ASSEMBLE
assembly = expand("{base}/megahit/{assembly_group}/final.contigs.fa", base = OUTPUTDIR, assembly_group = METAG_ASSEMBLYGROUP),
assembly_copy = expand("{base}/bwa_index/{assembly_group}.fa", base = SCRATCHDIR, assembly_group = METAG_ASSEMBLYGROUP),
#BWA INDEX
bwa_index = expand("{base}/bwa_index/{assembly_group}.fa.{bwa_tail}", base = SCRATCHDIR, assembly_group = METAG_ASSEMBLYGROUP, bwa_tail = ["amb", "ann", "bwt", "pac", "sa"]),
#BWA MAPPING:
bwa_memG = get_sample_list(METAG_ASSEMBLYGROUP, METAG_SAMPLELIST, METAG_ACCESSION),
bwa_memT = get_sample_list(METAT_ASSEMBLYGROUP, METAT_SAMPLELIST, METAT_ACCESSION),
#BINNING
#METABAT2
jgi_abund = expand("{base}/metabat2/{assembly_group}/jgi_abund.txt", base = OUTPUTDIR, assembly_group = METAG_ASSEMBLYGROUP),
metabat2_bins = expand("{base}/metabat2/{assembly_group}/{assembly_group}_bin", base = OUTPUTDIR, assembly_group = METAG_ASSEMBLYGROUP),
#EUKREP
eukrep = expand("{base}/eukrep/{assembly_group}/euk.final.contigs.fa", base = OUTPUTDIR, assembly_group = METAG_ASSEMBLYGROUP),
metabat2_bins_euk = expand("{base}/metabat2_euk/{assembly_group}/{assembly_group}_eukbin", base = OUTPUTDIR, assembly_group = METAG_ASSEMBLYGROUP),
#PROTEIN PREDICITION
#PRODIGAL
proteins = expand("{base}/prodigal/{assembly_group}/proteins.faa", base = OUTPUTDIR, assembly_group = METAG_ASSEMBLYGROUP),
rule fastqc:
input:
INPUTDIR + "/{study}/{sample}/{sample}_{num}.fastq.gz"
output:
html = OUTPUTDIR + '/qc/fastqc/{study}/{sample}_{num}_fastqc.html',
zip = OUTPUTDIR + '/qc/fastqc/{study}/{sample}_{num}_fastqc.zip'
params: ""
log:
OUTPUTDIR + '/logs/fastqc/{study}/{sample}_{num}.log'
wrapper:
"0.27.1/bio/fastqc"
rule trimmomatic:
input:
r1 = INPUTDIR + "/{study}/{sample}/{sample}_1.fastq.gz",
r2 = INPUTDIR + "/{study}/{sample}/{sample}_2.fastq.gz"
output:
r1 = SCRATCHDIR + "/trimmed/{study}/{sample}_1.trimmed.fastq.gz",
r2 = SCRATCHDIR + "/trimmed/{study}/{sample}_2.trimmed.fastq.gz",
# reads where trimming entirely removed the mate
r1_unpaired = SCRATCHDIR + "/trimmed/{study}/{sample}_1.unpaired.fastq.gz",
r2_unpaired = SCRATCHDIR + "/trimmed/{study}/{sample}_2.unpaired.fastq.gz"
log:
OUTPUTDIR + "/logs/trimmomatic/{study}/{sample}.log"
params:
trimmer=["ILLUMINACLIP:{}:2:30:7".format(ADAPTERS), "LEADING:2", "TRAILING:2", "SLIDINGWINDOW:4:2", "MINLEN:50"],
extra=""
wrapper:
"0.27.1/bio/trimmomatic/pe"
rule fastqc_trimmed:
input:
SCRATCHDIR + "/trimmed/{study}/{sample}_{num}.trimmed.fastq.gz"
output:
html = OUTPUTDIR + '/qc/fastqc/{study}/{sample}_{num}.trimmed_fastqc.html',
zip = OUTPUTDIR + '/qc/fastqc/{study}/{sample}_{num}.trimmed_fastqc.zip'
params: ""
log:
OUTPUTDIR + '/logs/fastqc/{study}/{sample}_{num}.trimmed.log'
wrapper:
"0.27.1/bio/fastqc"
rule multiqc:
input:
rawG = expand("{base}/qc/fastqc/{study}/{sample}_{num}_fastqc.zip", base = OUTPUTDIR, study = METAG_ACCESSION, sample = metaG_run_accession, num = [1,2]),
trimmedG = expand("{base}/qc/fastqc/{study}/{sample}_{num}.trimmed_fastqc.zip", base = OUTPUTDIR, study = METAG_ACCESSION, sample = metaG_run_accession, num = [1,2]),
rawT = expand("{base}/qc/fastqc/{study}/{sample}_{num}_fastqc.zip", base = OUTPUTDIR, study = METAT_ACCESSION, sample = metaT_run_accession, num = [1,2]),
trimmedT = expand("{base}/qc/fastqc/{study}/{sample}_{num}.trimmed_fastqc.zip", base = OUTPUTDIR, study = METAT_ACCESSION, sample = metaT_run_accession, num = [1,2])
output:
html_rawG = OUTPUTDIR + "/qc/rawG_multiqc.html",
stats_rawG = OUTPUTDIR + "/qc/rawG_multiqc_general_stats.txt",
html_trimmedG = OUTPUTDIR + "/qc/trimmedG_multiqc.html",
stats_trimmedG = OUTPUTDIR + "/qc/trimmedG_multiqc_general_stats.txt",
html_rawT = OUTPUTDIR + "/qc/rawT_multiqc.html",
stats_rawT = OUTPUTDIR + "/qc/rawT_multiqc_general_stats.txt",
html_trimmedT = OUTPUTDIR + "/qc/trimmedT_multiqc.html",
stats_trimmedT = OUTPUTDIR + "/qc/trimmedT_multiqc_general_stats.txt"
conda:
"envs/multiqc-env.yaml"
shell:
"""
multiqc -n multiqc.html {input.rawG}
mv multiqc.html {output.html_rawG}
mv multiqc_data/multiqc_general_stats.txt {output.stats_rawG}
rm -rf multiqc_data
multiqc -n multiqc.html {input.trimmedG}
mv multiqc.html {output.html_trimmedG}
mv multiqc_data/multiqc_general_stats.txt {output.stats_trimmedG}
rm -rf multiqc_data
multiqc -n multiqc.html {input.trimmedT}
mv multiqc.html {output.html_trimmedT}
mv multiqc_data/multiqc_general_stats.txt {output.stats_trimmedT}
rm -rf multiqc_data
multiqc -n multiqc.html {input.trimmedT}
mv multiqc.html {output.html_trimmedT}
mv multiqc_data/multiqc_general_stats.txt {output.stats_trimmedT}
rm -rf multiqc_data
"""
rule compute_sigs:
input:
r1 = SCRATCHDIR + "/trimmed/{study}/{sample}_1.trimmed.fastq.gz",
r2 = SCRATCHDIR + "/trimmed/{study}/{sample}_2.trimmed.fastq.gz"
output:
SCRATCHDIR + "/sourmash/{study}/{sample}.10k.sig"
conda:
"envs/sourmash.yaml"
log:
OUTPUTDIR + "/logs/sourmash/{study}/sourmash_{sample}.log"
shell:
"""
zcat {input.r1} {input.r2} | sourmash compute -k 21,31,51\
--scaled 10000 --track-abundance \
-o {output} - 2> {log}
"""
rule megahit_assembly:
input: r1 = lambda wildcards: identify_read_groups("{assembly_group}".format(assembly_group=wildcards.assembly_group), METAG_ACCESSION),
r2 = lambda wildcards: identify_read_groups("{assembly_group}".format(assembly_group=wildcards.assembly_group), METAG_ACCESSION, FORWARD=False)
output:
OUTPUTDIR + "/megahit/{assembly_group}/final.contigs.fa"
conda:
"envs/megahit.yaml"
log:
OUTPUTDIR + "/logs/megahit/{assembly_group}.log"
params:
inputr1 = lambda wildcards, input: ','.join(input.r1),
inputr2 = lambda wildcards, input: ','.join(input.r2),
min_contig_len = MEGAHIT_MIN_CONTIG,
cpu_threads = MEGAHIT_CPU,
memory = MEGAHIT_MEM,
other_options = MEGAHIT_OTHER,
megahit_output_name = lambda wildcards: "{}/megahit/{}".format(OUTPUTDIR, wildcards.assembly_group),
megahit_output_prefix = lambda wildcards: "{}".format(wildcards.assembly_group),
shell:
"""
megahit -1 {params.inputr1} -2 {params.inputr2} --min-contig-len {params.min_contig_len} --memory {params.memory} -t {params.cpu_threads} --out-dir {params.megahit_output_name} {params.other_options} >> {log} 2>&1
"""
rule bwa_index:
input:
SCRATCHDIR + "/bwa_index/{assembly_group}.fa"
output:
SCRATCHDIR + "/bwa_index/{assembly_group}.fa.amb",
SCRATCHDIR + "/bwa_index/{assembly_group}.fa.ann",
SCRATCHDIR + "/bwa_index/{assembly_group}.fa.bwt",
SCRATCHDIR + "/bwa_index/{assembly_group}.fa.pac",
SCRATCHDIR + "/bwa_index/{assembly_group}.fa.sa"
log:
OUTPUTDIR + "/logs/bwa_index/{assembly_group}.log"
params:
algorithm="bwtsw"
conda:
"envs/metabat-env.yaml"
shell:
"""
bwa index {input} 2> {log}
"""
rule copy_bwa_index:
input:
OUTPUTDIR + "/megahit/{assembly_group}/final.contigs.fa"
output:
SCRATCHDIR + "/bwa_index/{assembly_group}.fa"
shell:
"""
cp {input} {output}
"""
rule bwa_mem:
input:
amb = SCRATCHDIR + "/bwa_index/{assembly_group}.fa.amb",
ann = SCRATCHDIR + "/bwa_index/{assembly_group}.fa.ann",
bwt = SCRATCHDIR + "/bwa_index/{assembly_group}.fa.bwt",
pac = SCRATCHDIR + "/bwa_index/{assembly_group}.fa.pac",
sa = SCRATCHDIR + "/bwa_index/{assembly_group}.fa.sa",
reference = SCRATCHDIR + "/bwa_index/{assembly_group}.fa",
r1 = SCRATCHDIR + "/trimmed/{study}/{sample}_1.trimmed.fastq.gz",
r2 = SCRATCHDIR + "/trimmed/{study}/{sample}_2.trimmed.fastq.gz",
output:
SCRATCHDIR + "/mapping/{assembly_group}/{study}/{sample}.bam"
log:
OUTPUTDIR + "/logs/bwa_mem/{assembly_group}/{study}/{sample}.log"
params:
extra="",
#pipe_cmd = "samtools sort -o {output} -",
threads = 8
conda:
"envs/metabat-env.yaml"
shell:
"""
bwa mem -t {params.threads} {params.extra} {input.reference} {input.r1} {input.r2} | samtools sort -o {output} - >> {log} 2>&1
"""
rule metabat_abundance:
input:
lambda wildcards: get_sample_list_onegroup("{assembly_group}".format(assembly_group=wildcards.assembly_group), METAG_SAMPLELIST, METAG_ACCESSION)
output:
OUTPUTDIR + "/metabat2/{assembly_group}/jgi_abund.txt"
conda:
"envs/metabat-env.yaml"
log:
OUTPUTDIR + "/logs/metabat2/{assembly_group}.abun.log"
shell:
"""
jgi_summarize_bam_contig_depths --outputDepth {output} {input} > {log} 2>&1
"""
rule metabat_binning:
input:
assembly = OUTPUTDIR + "/megahit/{assembly_group}/final.contigs.fa",
depth = OUTPUTDIR + "/metabat2/{assembly_group}/jgi_abund.txt"
output:
OUTPUTDIR + "/metabat2/{assembly_group}/{assembly_group}_bin"
conda:
"envs/metabat-env.yaml"
params:
other = "--saveCls",
threads = 8
log:
OUTPUTDIR + "/logs/metabat2/{assembly_group}.bin.log"
shell:
"""
metabat2 {params.other} --numThreads {params.threads} -i {input.assembly} -a {input.depth} -o {output} > {log} 2>&1
"""
rule eukrep:
input:
assembly = OUTPUTDIR + "/megahit/{assembly_group}/final.contigs.fa",
output:
OUTPUTDIR + "/eukrep/{assembly_group}/euk.final.contigs.fa"
conda:
"envs/EukRep.yaml"
log:
OUTPUTDIR + "/logs/eukrep/{assembly_group}.eukrep.log"
params:
prok = OUTPUTDIR + "/eukrep/{assembly_group}/prok.final.contigs.fa",
min_contig = 1000
shell:
"""
EukRep -i {input} -o {output} --prokarya {params.prok} --min {params.min_contig} > {log} 2>&1
"""
rule metabat_binning_euk:
input:
assembly = OUTPUTDIR + "/eukrep/{assembly_group}/euk.final.contigs.fa",
depth = OUTPUTDIR + "/metabat2/{assembly_group}/jgi_abund.txt"
output:
OUTPUTDIR + "/metabat2_euk/{assembly_group}/{assembly_group}_eukbin"
conda:
"envs/metabat-env.yaml"
params:
other = "--saveCls",
threads = 8
log:
OUTPUTDIR + "/logs/metabat2/{assembly_group}.eukbin.log"
shell:
"""
metabat2 {params.other} --numThreads {params.threads} -i {input.assembly} -a {input.depth} -o {output} > {log} 2>&1
"""
rule prodigal:
input:
assembly = OUTPUTDIR + "/megahit/{assembly_group}/final.contigs.fa",
output:
proteins = OUTPUTDIR + "/prodigal/{assembly_group}/proteins.faa",
genes = OUTPUTDIR + "/prodigal/{assembly_group}/genes.gff"
conda:
"envs/prodigal.yaml"
shell:
"""
prodigal -i {input.assembly} -f gff -o {output.genes} -a {output.proteins} -p meta
"""