Explore Workflows

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Graph Name Retrieved From View
workflow graph QuantSeq 3' FWD, FWD-UMI or REV for single-read mRNA-Seq data

### Devel version of QuantSeq 3' FWD, FWD-UMI or REV for single-read mRNA-Seq data

https://github.com/datirium/workflows.git

Path: workflows/trim-quantseq-mrnaseq-se-strand-specific.cwl

Branch/Commit ID: cbefc215d8286447620664fb47076ba5d81aa47f
workflow graph kmer_ref_compare_wnode

https://github.com/ncbi/pgap.git

Path: task_types/tt_kmer_ref_compare_wnode.cwl

Branch/Commit ID: 1e16653514fd5629a704516eb447043c9fd0a53b
workflow graph capmq.cwl

https://github.com/wtsi-hgi/arvados-pipelines.git

Path: cwl/workflows/capmq.cwl

Branch/Commit ID: 95babe5d8779c036e3499940544c7709600929d1
workflow graph heatmap-prepare.cwl

Workflow runs homer-make-tag-directory.cwl tool using scatter for the following inputs - bam_file - fragment_size - total_reads `dotproduct` is used as a `scatterMethod`, so one element will be taken from each array to construct each job: 1) bam_file[0] fragment_size[0] total_reads[0] 2) bam_file[1] fragment_size[1] total_reads[1] ... N) bam_file[N] fragment_size[N] total_reads[N] `bam_file`, `fragment_size` and `total_reads` arrays should have the identical order.

https://github.com/datirium/workflows.git

Path: subworkflows/heatmap-prepare.cwl

Branch/Commit ID: 9ee330737f4603e4e959ffe786fbb2046db70a00
workflow graph ani_top_n

https://github.com/ncbi/pgap.git

Path: task_types/tt_ani_top_n.cwl

Branch/Commit ID: 1e16653514fd5629a704516eb447043c9fd0a53b
workflow graph kmer_ref_compare_wnode

https://github.com/ncbi/pgap.git

Path: task_types/tt_kmer_ref_compare_wnode.cwl

Branch/Commit ID: f390475a4e0898d4933f0a28dae278aa35803eb1
workflow graph cram-get-fasta.cwl

https://github.com/wtsi-hgi/arvados-pipelines.git

Path: cwl/workflows/cram-get-fasta.cwl

Branch/Commit ID: 95babe5d8779c036e3499940544c7709600929d1
workflow graph gcaccess_from_list

https://github.com/ncbi/pgap.git

Path: task_types/tt_gcaccess_from_list.cwl

Branch/Commit ID: 1e16653514fd5629a704516eb447043c9fd0a53b
workflow graph THOR - differential peak calling of ChIP-seq signals with replicates

What is THOR? -------------- THOR is an HMM-based approach to detect and analyze differential peaks in two sets of ChIP-seq data from distinct biological conditions with replicates. THOR performs genomic signal processing, peak calling and p-value calculation in an integrated framework. For more information please refer to: ------------------------------------- Allhoff, M., Sere K., Freitas, J., Zenke, M., Costa, I.G. (2016), Differential Peak Calling of ChIP-seq Signals with Replicates with THOR, Nucleic Acids Research, epub gkw680.

 https://github.com/datirium/workflows.git

Path: workflows/rgt-thor.cwl

Branch/Commit ID: c0ca7b140d776eec223ceb1c620eda17281860c4
workflow graph screen out taxa

Remove sequences which align against a reference set using bowtie2. The references are preformatted (index files)

 https://github.com/MG-RAST/pipeline.git

Path: CWL/Workflows/organism-screening.workflow.cwl

Branch/Commit ID: f906212e2c9a88280ae36545e5422f25752aa8f4