Explore Workflows

View already parsed workflows here or click here to add your own

Graph Name Retrieved From View
workflow graph GSEApy - Gene Set Enrichment Analysis in Python

GSEAPY: Gene Set Enrichment Analysis in Python ============================================== Gene Set Enrichment Analysis is a computational method that determines whether an a priori defined set of genes shows statistically significant, concordant differences between two biological states (e.g. phenotypes). GSEA requires as input an expression dataset, which contains expression profiles for multiple samples. While the software supports multiple input file formats for these datasets, the tab-delimited GCT format is the most common. The first column of the GCT file contains feature identifiers (gene ids or symbols in the case of data derived from RNA-Seq experiments). The second column contains a description of the feature; this column is ignored by GSEA and may be filled with “NA”s. Subsequent columns contain the expression values for each feature, with one sample's expression value per column. It is important to note that there are no hard and fast rules regarding how a GCT file's expression values are derived. The important point is that they are comparable to one another across features within a sample and comparable to one another across samples. Tools such as DESeq2 can be made to produce properly normalized data (normalized counts) which are compatible with GSEA.

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

Path: workflows/gseapy.cwl

Branch/Commit ID: 2005c6b7f1bff6247d015ff6c116bd9ec97158bb
workflow graph Cell Ranger Aggregate

Cell Ranger Aggregate =====================

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

Path: workflows/cellranger-aggr.cwl

Branch/Commit ID: 480e99a4bb3046e0565113d9dca294e0895d3b0c
workflow graph wf-variantcall.cwl

https://github.com/bcbio/bcbio_validation_workflows.git

Path: somatic-lowfreq/pisces-titr-workflow/wf-variantcall.cwl

Branch/Commit ID: af9a5621efcb44c249697d6df071fe4defe389ac
workflow graph hisat2-cufflinks_wf_se.cwl

https://github.com/pitagora-network/pitagora-cwl.git

Path: workflows/hisat2-cufflinks/single_end/hisat2-cufflinks_wf_se.cwl

Branch/Commit ID: f85f2cd5d888ed947f47a391eb32dcb53265f9b3
workflow graph tt_hmmsearch_wnode.cwl

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

Path: task_types/tt_hmmsearch_wnode.cwl

Branch/Commit ID: a402541b8530f30eab726c160da90a23036847a1
workflow graph wf-alignment.cwl

https://github.com/bcbio/bcbio_validation_workflows.git

Path: somatic-giab-mix/somatic-giab-mix-workflow/wf-alignment.cwl

Branch/Commit ID: af9a5621efcb44c249697d6df071fe4defe389ac
workflow graph Detect Variants workflow

https://github.com/genome/analysis-workflows.git

Path: definitions/pipelines/detect_variants.cwl

Branch/Commit ID: ecac0fda44df3a8f25ddfbb3e7a023fcbe4cbd0f
workflow graph hisat2-cufflinks_wf_pe.cwl

https://github.com/pitagora-network/pitagora-cwl.git

Path: workflows/hisat2-cufflinks/paired_end/hisat2-cufflinks_wf_pe.cwl

Branch/Commit ID: f85f2cd5d888ed947f47a391eb32dcb53265f9b3
workflow graph 04-quantification-se-revstranded.cwl

RNA-seq 04 quantification

 https://github.com/Duke-GCB/GGR-cwl.git

Path: v1.0/RNA-seq_pipeline/04-quantification-se-revstranded.cwl

Branch/Commit ID: 487af88ef0b971f76ecd1a215639bb47e3ee94e1
workflow graph tt_univec_wnode.cwl

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

Path: task_types/tt_univec_wnode.cwl

Branch/Commit ID: 4e2a295bb6c8b4982402ee80538a0cdb8ee6b6dd