Explore Workflows

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

Graph Name Retrieved From View
workflow graph iwdr_with_nested_dirs.cwl

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

Path: tests/iwdr_with_nested_dirs.cwl

Branch/Commit ID: a5073143db4155e05df8d2e7eb59d9e62acd65a5
workflow graph dynresreq-workflow.cwl

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

Path: tests/dynresreq-workflow.cwl

Branch/Commit ID: a5073143db4155e05df8d2e7eb59d9e62acd65a5
workflow graph genome-kallisto-index.cwl

Generates a FASTA file with the DNA sequences for all transcripts in a GFF file and builds kallisto index

https://github.com/Barski-lab/workflows.git

Path: tools/genome-kallisto-index.cwl

Branch/Commit ID: 896422c9ff1995024cb77675edcd4d973ae11f7a
workflow graph umi duplex alignment fastq workflow

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

Path: definitions/pipelines/alignment_umi_duplex.cwl

Branch/Commit ID: 5fda2d9eb52a363bd51011b3851c2afb86318c0c
workflow graph Single-Cell RNA-Seq Trajectory Analysis

Single-Cell RNA-Seq Trajectory Analysis Infers developmental trajectories and pseudotime from cells clustered by similarity of gene expression data.

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

Path: workflows/sc-rna-trajectory.cwl

Branch/Commit ID: d76110e0bfc40c874f82e37cef6451d74df4f908
workflow graph Unaligned to aligned BAM

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

Path: definitions/subworkflows/align.cwl

Branch/Commit ID: 5fda2d9eb52a363bd51011b3851c2afb86318c0c
workflow graph DESeq2 Multi-factor Analysis

DESeq2 Multi-factor Analysis Runs DeSeq2 multi-factor analysis with manual control over major parameters

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

Path: workflows/deseq-multi-factor.cwl

Branch/Commit ID: d76110e0bfc40c874f82e37cef6451d74df4f908
workflow graph FastQC - a quality control tool for high throughput sequence data

FastQC - a quality control tool for high throughput sequence data ===================================== FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis. The main functions of FastQC are: - Import of data from FastQ files (any variant) - Providing a quick overview to tell you in which areas there may be problems - Summary graphs and tables to quickly assess your data - Export of results to an HTML based permanent report - Offline operation to allow automated generation of reports without running the interactive application

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

Path: workflows/fastqc.cwl

Branch/Commit ID: d76110e0bfc40c874f82e37cef6451d74df4f908
workflow graph trim-rnaseq-se.cwl

Runs RNA-Seq BioWardrobe basic analysis with single-end data file.

https://github.com/Barski-lab/workflows.git

Path: workflows/trim-rnaseq-se.cwl

Branch/Commit ID: 896422c9ff1995024cb77675edcd4d973ae11f7a
workflow graph RNA-Seq alignment and transcript/gene abundance workflow

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

Path: definitions/pipelines/rnaseq.cwl

Branch/Commit ID: 5fda2d9eb52a363bd51011b3851c2afb86318c0c