Explore Workflows
View already parsed workflows here or click here to add your own
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extract_gencoll_ids
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![]() Path: task_types/tt_extract_gencoll_ids.cwl Branch/Commit ID: 9e43bc5cff985574e1f8135d4c50b5a347517c9e |
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step-valuefrom4-wf.cwl
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![]() Path: tests/step-valuefrom4-wf.cwl Branch/Commit ID: 57baec040c99d7edef8242ef51b5470b1c82d733 |
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Genelists heatmap - peak and expression data visualized together
# Genelists heatmap - peak and expression data visualized together This visualization workflow takes as input 1 or more genelists derived from the DESeq and/or diffbind workflows along with user-selected samples and visualizes the ChIP/ATAC-Seq peak and/or RNA-Seq expression data visualized together in a single morpheus heatmap. ### __References__ - Morpheus, https://software.broadinstitute.org/morpheus |
![]() Path: workflows/genelists-deseq-diffbind.cwl Branch/Commit ID: 93b844a80f4008cc973ea9b5efedaff32a343895 |
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download-models.cwl
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![]() Path: download-models.cwl Branch/Commit ID: 118a0e83052b6edfb72dd46bab8828314a0db34c |
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kmer_cache_store
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![]() Path: task_types/tt_kmer_cache_store.cwl Branch/Commit ID: e3f18c61d1bbf65e40921dbd044369da4523ee3e |
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exome alignment and somatic variant detection for cle purpose
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![]() Path: definitions/pipelines/somatic_exome_cle.cwl Branch/Commit ID: 457e101e3fb87e7fd792357afce00ed8ccbfbcdb |
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Hello World
Outputs a message using echo |
![]() Path: tests/wf/hello-workflow.cwl Branch/Commit ID: 8ef515037de411abd2f84b569ad4d4a4f7a2c7a0 |
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sum-wf.cwl
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![]() Path: cwltool/schemas/v1.0/v1.0/sum-wf.cwl Branch/Commit ID: 2256a30d0c1365b30e0a7338fb883c74674fcd25 |
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Trim Galore SMARTer RNA-Seq pipeline paired-end strand specific
https://chipster.csc.fi/manual/library-type-summary.html Modified original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for a **pair-end** experiment. A corresponded input [FASTQ](http://maq.sourceforge.net/fastq.shtml) file has to be provided. Current workflow should be used only with the single-end RNA-Seq data. It performs the following steps: 1. Trim adapters from input FASTQ files 2. Use STAR to align reads from input FASTQ files according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 3. Use fastx_quality_stats to analyze input FASTQ files and generate quality statistics files 4. Use samtools sort to generate coordinate sorted BAM(+BAI) file pair from the unsorted BAM file obtained on the step 1 (after running STAR) 5. Generate BigWig file on the base of sorted BAM file 6. Map input FASTQ files to predefined rRNA reference indices using Bowtie to define the level of rRNA contamination; export resulted statistics to file 7. Calculate isoform expression level for the sorted BAM file and GTF/TAB annotation file using GEEP reads-counting utility; export results to file |
![]() Path: workflows/trim-rnaseq-pe-smarter-dutp.cwl Branch/Commit ID: 7eef0294395d83ff0765fce61726a59d71126422 |
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kmer_ref_compare_wnode
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![]() Path: task_types/tt_kmer_ref_compare_wnode.cwl Branch/Commit ID: e0fb04a0d8bc648183c6b71d099ce7aea3c3b3ff |