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Output Interpretations
Kaiyu Zhu edited this page Jul 18, 2019
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Result folder under current path(default) or output_folder set by user. A typical structure of Result is follows:
Result
├── aligners
│ └── star/bwa/hisat2/tophat2
├── peak_calling
│ ├── macs2
│ │ ├── macs2_A_group_A_normalized.bed
│ │ └── ...
│ ├── metpeak
│ │ ├── metpeak_A_group_A_normalized.bed
│ │ └── ...
│ ├── meyer
│ │ ├── meyer_A_group_A_normalized.bed
│ │ └── ...
│ └── matk
│ ├── matk_A_group_A_normalized.bed
│ └── ...
├── QC
│ ├── fastp
│ ├── fastqc
│ ├── rseqc
│ └── multiqc
├── samtools_sort
│ └── sample_rename
│ └── bam_for_resume
└── result_arranged
├── annotation
├── diff_expression
│ ├── htseq_count
│ └── edgeR/deseq2
├── diffm6A
├── m6A_prediction_sites
├── merged_bed
├── motif
├── quantification
└── final_results
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alignersare STAR/BWA/Hisat2/Tophat2 aligner outputs.
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peak_callingstored the PeakCalling results of the four options tools.
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QCstored Quality Control output generated by Fastp, FastQC, RSeQC and MultiQC.
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samtools_sortcontains all aligned reads of data, which are sorted (BAM files);sample_renameis rename of sorted BAM files for downstream analysis;bam_for_resumeis rename of sorted BAM files for using the last designfile to resume the pipeline, in order to transfer generated results for other clusters.
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result_arrangedstores the analysis results including expression analysis (diff_expression), merge peaks by RobustRankAggreg (merged_bed), methylation analysis (quantification & diffm6A), prediction of m6A sites (m6A_prediction_sites), motif search (motif).
Output directory: results/QC
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fastp- Store the results of Fastp.
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fastqc- Store the results of FastQC.
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rseqc- Store the results of RSeQC.
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multiqc- Store the results of MultiQC.
Output directory: results/samtools_sort
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sample_rename- Store sorted renamed BAM files for downstream analysis.
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bam_for_resume- Store sorted renamed BAM files for resume the pipeline without Alignment.
Output directory: results/aligners/star(bwa/hisat2/tophat2)
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*.bam- alignment result in bam format.
Output directory: results/peak_calling
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macs2- macs2*.normalized.bed are the peaks called by macs2, whose P-value is converted to log2(P-value).
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metpeak- metpeak*.normalized.bed are the peaks called by MeTPeak, which transfer bed12 format into bed6 format and P-value is converted into log2(P-value).
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meyer- meyer*.normalized.bed are the peaks called by Meyer, whose P-value is converted to log2(P-value).
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matk- matk*.normalized.bed are the peaks called by MATK, whose P-value is converted to log2(P-value).
Output directory: results/results_arranged
- Store the analysis results of m6APipe
2018-2019 Center for Bioinformatics, Sun Yat-sen University Cancer Center