Explore Workflows
View already parsed workflows here or click here to add your own
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Xenbase RNA-Seq pipeline paired-end
1. Convert input SRA file into pair of upsrtream and downstream FASTQ files (run fastq-dump) 2. Analyze quality of FASTQ files (run fastqc with each of the FASTQ files) 3. If any of the following fields in fastqc generated report is marked as failed for at least one of input FASTQ files: \"Per base sequence quality\", \"Per sequence quality scores\", \"Overrepresented sequences\", \"Adapter Content\", - trim adapters (run trimmomatic) 4. Align original or trimmed FASTQ files to reference genome, calculate genes and isoforms expression (run RSEM) 5. Count mapped reads number in sorted BAM file (run bamtools stats) 6. Generate genome coverage BED file (run bedtools genomecov) 7. Sort genearted BED file (run sort) 8. Generate genome coverage bigWig file from BED file (run bedGraphToBigWig) |
Path: workflows/xenbase-rnaseq-pe.cwl Branch/Commit ID: 9bf0aa495735f8081bb5870cb32fc898b9e6eb22 |
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samtools_view_sam2bam
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Path: structuralvariants/cwl/abstract_operations/subworkflows/samtools_view_sam2bam.cwl Branch/Commit ID: 82e533a98a763a258bd841ed0032c79445478d56 |
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revsort.cwl
Reverse the lines in a document, then sort those lines. |
Path: tests/wf/revsort.cwl Branch/Commit ID: 20d664eff23e59aa57908345bfdb1ceeab3438f2 |
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fastq_foreign_chromosome_cleanup
This workflow remove foreign chromosome comtamination from blastn TSV files |
Path: workflows/Contamination/fastq-foreign-chromosome-cleanup.cwl Branch/Commit ID: 11f70a71cb68b3960c2d410ba1fdcd3b8a7e1419 |
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PCA - Principal Component Analysis
Principal Component Analysis --------------- Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables (entities each of which takes on various numerical values) into a set of values of linearly uncorrelated variables called principal components. The calculation is done by a singular value decomposition of the (centered and possibly scaled) data matrix, not by using eigen on the covariance matrix. This is generally the preferred method for numerical accuracy. |
Path: workflows/pca.cwl Branch/Commit ID: 7ae3b75bbe614e59cdeaba06047234a6c40c0fe9 |
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Nested workflow example
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Path: tests/wf/nested.cwl Branch/Commit ID: 20d664eff23e59aa57908345bfdb1ceeab3438f2 |
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EMG pipeline v3.0 (paired end version)
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Path: workflows/emg-pipeline-v3-paired.cwl Branch/Commit ID: ca6ca613f0d3728d9589a6ca6293e66dfde87bfb |
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linc_calibrator.cwl
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Path: workflows/linc_calibrator.cwl Branch/Commit ID: 8a697be0fa85795f7822146015edf963a5681ca7 |
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search.cwl#main
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Path: cwltool/schemas/v1.0/v1.0/search.cwl Branch/Commit ID: e59538cd9899a88d7e31e0f259bc56734f604383 Packed ID: main |
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linc_target.cwl
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Path: workflows/linc_target.cwl Branch/Commit ID: 8a697be0fa85795f7822146015edf963a5681ca7 |
