Explore Workflows

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Graph Name Retrieved From View
workflow graph align_sort_sa

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

Path: task_types/tt_align_sort_sa.cwl

Branch/Commit ID: 8a8fffb78b1e327ba0da51840ac8acc0c218d611
workflow graph wf-loadContents.cwl

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/wf-loadContents.cwl

Branch/Commit ID: a5073143db4155e05df8d2e7eb59d9e62acd65a5
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: 2caa50434966ebdf4b33e5ca689c2e4df32f9058
workflow graph WGS processing workflow for single sample

https://github.com/arvados/arvados-tutorial.git

Path: WGS-processing/cwl/helper/bwamem-gatk-report-wf.cwl

Branch/Commit ID: 2691061efa8341166ad6518688e5e6c0fb9a8fbf
workflow graph pdf2wordcloud.cwl

https://github.com/wilke/CWL-Quick-Start.git

Path: CWL/Workflows/pdf2wordcloud.cwl

Branch/Commit ID: ea282b81f959350ef77263baa7c0b8e1383632ad
workflow graph extract_gencoll_ids

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

Path: task_types/tt_extract_gencoll_ids.cwl

Branch/Commit ID: a3affd1b9e3e16f0644a25fee1a7b87b99df57b0
workflow graph exome alignment and somatic variant detection for cle purpose

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

Path: definitions/pipelines/somatic_exome_cle.cwl

Branch/Commit ID: d57c2af01a3cb6016e5a264f60641eafd2e5aa05
workflow graph sequence (bam or fastqs) to trimmed fastqs

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

Path: definitions/subworkflows/sequence_to_trimmed_fastq.cwl

Branch/Commit ID: 0d2f354af9192a56af258a7d2426c7c160f4ec1a
workflow graph fp_filter workflow

https://github.com/apaul7/cancer-genomics-workflow.git

Path: definitions/subworkflows/fp_filter.cwl

Branch/Commit ID: bfcb5ffbea3d00a38cc03595d41e53ea976d599d
workflow graph gcaccess_from_list

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

Path: task_types/tt_gcaccess_from_list.cwl

Branch/Commit ID: 5461e63dc4714bb81e1c9f58e436c8465107a199