Explore Workflows

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

Graph	Name	Retrieved From	View
	cram_to_bam workflow	https://github.com/genome/analysis-workflows.git Path: definitions/subworkflows/cram_to_bam_and_index.cwl Branch/Commit ID: 2e0562a5c3cd7aac24af4c622a5ae68a7fb23a71
	Detect Variants workflow	https://github.com/genome/analysis-workflows.git Path: definitions/pipelines/detect_variants.cwl Branch/Commit ID: 97572e3a088d79f6a4166385f79e79ea77b11470
	AltAnalyze CellHarmony AltAnalyze CellHarmony ======================	https://github.com/datirium/workflows.git Path: workflows/altanalyze-cellharmony.cwl Branch/Commit ID: f3e44d3b0f198cf5245c49011124dc3b6c2b06fd
	Apply filters to VCF file	https://github.com/genome/analysis-workflows.git Path: definitions/subworkflows/filter_vcf_nonhuman.cwl Branch/Commit ID: 389f6edccab082d947bee9c032f59dbdf9f7c325
	Filter differentially expressed genes from DESeq for Tag Density Profile Analyses Filters differentially expressed genes from DESeq for Tag Density Profile Analyses ================================================================================== Tool filters output from DESeq pipeline run for genes to create a file with regions of interest for Tag Density Profile Analyses.	https://github.com/datirium/workflows.git Path: workflows/filter-deseq-for-heatmap.cwl Branch/Commit ID: 4a5c59829ff8b9f3c843e66e3c675dcd9c689ed5
	fp_filter workflow	https://github.com/genome/analysis-workflows.git Path: definitions/subworkflows/fp_filter.cwl Branch/Commit ID: 43c790e2ee6a0f3f42e40fb4d9a9005eb8de747a
	cluster_blastp_wnode and gpx_qdump combined	https://github.com/ncbi/pgap.git Path: task_types/tt_cluster_and_qdump.cwl Branch/Commit ID: 90a321ecf2d049330bcf0657cc4d764d2c3f42dd
	PCA - Principal Component Analysis Principal Component Analysis --------------- Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables (entities each of which takes on various numerical values) into a set of values of linearly uncorrelated variables called principal components. The calculation is done by a singular value decomposition of the (centered and possibly scaled) data matrix, not by using eigen on the covariance matrix. This is generally the preferred method for numerical accuracy.	https://github.com/datirium/workflows.git Path: workflows/pca.cwl Branch/Commit ID: a409db2289b86779897ff19003bd351701a81c50
	Running cellranger count and lineage inference	https://github.com/genome/analysis-workflows.git Path: definitions/subworkflows/single_cell_rnaseq.cwl Branch/Commit ID: 2e0562a5c3cd7aac24af4c622a5ae68a7fb23a71
	indices-header.cwl	https://github.com/datirium/workflows.git Path: metadata/indices-header.cwl Branch/Commit ID: 433c10a6ee9f9b07f1af4141e3df6a584dfe86a1