Explore Workflows
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Generate genome indices for Bismark
Copy input fasta file to the folder and run bismark_genome_preparation script to prepare indices for Bismark Methylation Analysis. Bowtie2 aligner is used by default. The name of the output indices folder is equal to the fasta file basename without extension. |
Path: workflows/bismark-indices.cwl Branch/Commit ID: 9ee330737f4603e4e959ffe786fbb2046db70a00 |
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echo-wf-default.cwl
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Path: cwltool/schemas/v1.0/v1.0/echo-wf-default.cwl Branch/Commit ID: 2ae8117360a3cd4909d9d3f2b35c30bfffb25d0a |
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cache_asnb_entries
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Path: task_types/tt_cache_asnb_entries.cwl Branch/Commit ID: 122aba2dafbb63241413c82b725b877c04523aaf |
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Cut-n-Run pipeline paired-end
Experimental pipeline for Cut-n-Run analysis. Uses mapping results from the following experiment types: - `chipseq-pe.cwl` - `trim-chipseq-pe.cwl` - `trim-atacseq-pe.cwl` Note, the upstream analyses should not have duplicates removed |
Path: workflows/trim-chipseq-pe-cut-n-run.cwl Branch/Commit ID: 5561f7ee11dd74848680351411a19aa87b13d27b |
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Motif Finding with HOMER with custom background regions
Motif Finding with HOMER with custom background regions --------------------------------------------------- HOMER contains a novel motif discovery algorithm that was designed for regulatory element analysis in genomics applications (DNA only, no protein). It is a differential motif discovery algorithm, which means that it takes two sets of sequences and tries to identify the regulatory elements that are specifically enriched in on set relative to the other. It uses ZOOPS scoring (zero or one occurrence per sequence) coupled with the hypergeometric enrichment calculations (or binomial) to determine motif enrichment. HOMER also tries its best to account for sequenced bias in the dataset. It was designed with ChIP-Seq and promoter analysis in mind, but can be applied to pretty much any nucleic acids motif finding problem. For more information please refer to: ------------------------------------- [Official documentation](http://homer.ucsd.edu/homer/motif/) |
Path: workflows/homer-motif-analysis-bg.cwl Branch/Commit ID: 7ae3b75bbe614e59cdeaba06047234a6c40c0fe9 |
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scatter-valuefrom-wf5.cwl
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Path: cwltool/schemas/v1.0/v1.0/scatter-valuefrom-wf5.cwl Branch/Commit ID: c6cced7a2e6389d2eb43342e702677ccb7c7497c |
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ani_top_n
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Path: task_types/tt_ani_top_n.cwl Branch/Commit ID: 122aba2dafbb63241413c82b725b877c04523aaf |
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gatk-4.0.0.0-haplotypecaller-genotypegvcfs-libraries.cwl
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Path: cwl/workflows/gatk-4.0.0.0-haplotypecaller-genotypegvcfs-libraries.cwl Branch/Commit ID: 95babe5d8779c036e3499940544c7709600929d1 |
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exome alignment and germline variant detection
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Path: definitions/subworkflows/germline_detect_variants.cwl Branch/Commit ID: f401b02285f30de1c12ac2859134099fe04be33f |
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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: 9ee330737f4603e4e959ffe786fbb2046db70a00 |
