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Graph Name Retrieved From View
workflow graph scatter-valuefrom-wf3.cwl#main

https://github.com/common-workflow-language/cwltool.git

Path: cwltool/schemas/v1.0/v1.0/scatter-valuefrom-wf3.cwl

Branch/Commit ID: 280a852e74aec08cf79687e8004e17b1ab464534

Packed ID: main
workflow graph hmmsearch_wnode and gpx_qdump combined workflow to apply scatter/gather

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

Path: task_types/tt_hmmsearch_wnode_plus_qdump.cwl

Branch/Commit ID: e6fd7898b71a89b667d2eb38f412999920be5902
workflow graph Prepare user input

Prepare user input for NCBI-PGAP pipeline

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

Path: prepare_user_input2.cwl

Branch/Commit ID: e2a6cbcc36212433d8fbc804919442787a5e2a49
workflow graph bulk scRNA-seq pipeline using Salmon

https://github.com/hubmapconsortium/salmon-rnaseq.git

Path: bulk-pipeline.cwl

Branch/Commit ID: 1af880947f14a474a3d48cb178397b1feca81145
workflow graph DESeq - differential gene expression analysis

Differential gene expression analysis ===================================== Differential gene expression analysis based on the negative binomial distribution Estimate variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution. DESeq1 ------ High-throughput sequencing assays such as RNA-Seq, ChIP-Seq or barcode counting provide quantitative readouts in the form of count data. To infer differential signal in such data correctly and with good statistical power, estimation of data variability throughout the dynamic range and a suitable error model are required. Simon Anders and Wolfgang Huber propose a method based on the negative binomial distribution, with variance and mean linked by local regression and present an implementation, [DESeq](http://bioconductor.org/packages/release/bioc/html/DESeq.html), as an R/Bioconductor package DESeq2 ------ In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. [DESeq2](http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html), a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression.

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

Path: workflows/deseq.cwl

Branch/Commit ID: a1f6ca50fcb0881781b3ba0306dd61ebf555eaba
workflow graph Produce a list of residue-mapped structural domain instances from CATH ids

Retrieve and process the PDB structures corresponding to the CATH superfamily ids resulting in a list of residue-mapped structural domain instances along with lost structural instances (requires Data/cath_domain_description_file.txt downloaded from CATH and uses SIFTS resource for PDB to UniProt residue Mapping)

https://github.com/HrishiDhondge/CroMaSt.git

Path: Tools/resmapping_cath_instances_subwf.cwl

Branch/Commit ID: 9f3832867eab6c7a6363f8ca594a4bcf2ff7e96f
workflow graph qc_workflow.cwl

https://github.com/mskcc/Innovation-Pipeline.git

Path: workflows/QC/qc_workflow.cwl

Branch/Commit ID: 9998da2da694af2edad7c2135f6995e2282794a3
workflow graph count-lines1-wf.cwl

https://github.com/common-workflow-language/cwltool.git

Path: cwltool/schemas/v1.0/v1.0/count-lines1-wf.cwl

Branch/Commit ID: fd6e054510e2bb65eed4069a3a88013d7ecbb99c
workflow graph scatter-valuefrom-wf4.cwl#main

https://github.com/common-workflow-language/cwltool.git

Path: cwltool/schemas/v1.0/v1.0/scatter-valuefrom-wf4.cwl

Branch/Commit ID: 89ccbfc53ff3bb6abe2eb90bb7e0091c54c18f5c

Packed ID: main
workflow graph blastp_wnode_naming

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

Path: task_types/tt_blastp_wnode_naming.cwl

Branch/Commit ID: c00944bae1a9d0f726f271786dae5454aa36f6e1