Explore Workflows

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

Graph Name Retrieved From View
workflow graph 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: 46a077b51619c6a14f85e0aa5260ae8a04426fab
workflow graph MAnorm PE - quantitative comparison of ChIP-Seq paired-end data

What is MAnorm? -------------- MAnorm is a robust model for quantitative comparison of ChIP-Seq data sets of TFs (transcription factors) or epigenetic modifications and you can use it for: * Normalization of two ChIP-seq samples * Quantitative comparison (differential analysis) of two ChIP-seq samples * Evaluating the overlap enrichment of the protein binding sites(peaks) * Elucidating underlying mechanisms of cell-type specific gene regulation How MAnorm works? ---------------- MAnorm uses common peaks of two samples as a reference to build the rescaling model for normalization, which is based on the empirical assumption that if a chromatin-associated protein has a substantial number of peaks shared in two conditions, the binding at these common regions will tend to be determined by similar mechanisms, and thus should exhibit similar global binding intensities across samples. The observed differences on common peaks are presumed to reflect the scaling relationship of ChIP-Seq signals between two samples, which can be applied to all peaks. What do the inputs mean? ---------------- ### General **Experiment short name/Alias** * short name for you experiment to identify among the others **ChIP-Seq PE sample 1** * previously analyzed ChIP-Seq paired-end experiment to be used as Sample 1 **ChIP-Seq PE sample 2** * previously analyzed ChIP-Seq paired-end experiment to be used as Sample 2 **Genome** * Reference genome to be used for gene assigning ### Advanced **Reads shift size for sample 1** * This value is used to shift reads towards 3' direction to determine the precise binding site. Set as half of the fragment length. Default 100 **Reads shift size for sample 2** * This value is used to shift reads towards 5' direction to determine the precise binding site. Set as half of the fragment length. Default 100 **M-value (log2-ratio) cutoff** * Absolute M-value (log2-ratio) cutoff to define biased (differential binding) peaks. Default: 1.0 **P-value cutoff** * P-value cutoff to define biased peaks. Default: 0.01 **Window size** * Window size to count reads and calculate read densities. 2000 is recommended for sharp histone marks like H3K4me3 and H3K27ac, and 1000 for TFs or DNase-seq. Default: 2000

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

Path: workflows/manorm-pe.cwl

Branch/Commit ID: 46a077b51619c6a14f85e0aa5260ae8a04426fab
workflow graph Subworkflow to allow calling different SV callers which require bam files as inputs

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

Path: definitions/subworkflows/single_sample_sv_callers.cwl

Branch/Commit ID: 3b6d0475c80f5e452793a46a38ee188742b86595
workflow graph BwaAligner_1_0_0.cwl

https://github.com/PMCC-BioinformaticsCore/janis-pipelines.git

Path: janis_pipelines/wgs_somatic/cwl/tools/BwaAligner_1_0_0.cwl

Branch/Commit ID: 5ba65e4781f03a74a845b7cd40bbf4c2ae3a9844
workflow graph GRO_run.cwl

https://github.com/JFRudzinski/CWL_example.git

Path: test_workflow_notables_clean/workflow/GRO_run.cwl

Branch/Commit ID: 96a8ff1c04802aad7d41befc8e942adc9ce0c048
workflow graph vardictSomaticVariantCaller_v0_1_0.cwl

https://github.com/PMCC-BioinformaticsCore/janis-pipelines.git

Path: janis_pipelines/wgs_somatic/cwl/tools/vardictSomaticVariantCaller_v0_1_0.cwl

Branch/Commit ID: 5ba65e4781f03a74a845b7cd40bbf4c2ae3a9844
workflow graph downsample unaligned BAM and align

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

Path: definitions/subworkflows/downsampled_alignment.cwl

Branch/Commit ID: e8b7759826df40b8bb821b40b15aea960a4951c4
workflow graph Apply filters to VCF file

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

Path: definitions/subworkflows/filter_vcf.cwl

Branch/Commit ID: 336f7d1af649f42543baa6be2594cd872919b5b5
workflow graph 03-map-se-blacklist-removal.cwl

ATAC-seq 03 mapping - reads: SE - blacklist removal

 https://github.com/alexbarrera/GGR-cwl.git

Path: v1.0/ATAC-seq_pipeline/03-map-se-blacklist-removal.cwl

Branch/Commit ID: 1a0dd34d59ec983d1f7ad77bff35da2f016e3134
workflow graph mergeAndMarkBams_4_1_3.cwl

https://github.com/PMCC-BioinformaticsCore/janis-pipelines.git

Path: janis_pipelines/wgs_somatic/cwl/tools/mergeAndMarkBams_4_1_3.cwl

Branch/Commit ID: 5ba65e4781f03a74a845b7cd40bbf4c2ae3a9844