Explore Workflows

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

Graph Name Retrieved From View
workflow graph timelimit-wf.cwl

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

Path: tests/timelimit-wf.cwl

Branch/Commit ID: a5073143db4155e05df8d2e7eb59d9e62acd65a5

workflow graph RNA-Seq pipeline single-read strand specific

Note: should be updated The original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for **strand specific single-read** experiment. A corresponded input [FASTQ](http://maq.sourceforge.net/fastq.shtml) file has to be provided. Current workflow should be used only with the single-read RNA-Seq data. It performs the following steps: 1. Use STAR to align reads from input FASTQ file according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 2. Use fastx_quality_stats to analyze input FASTQ file and generate quality statistics file 3. Use samtools sort to generate coordinate sorted BAM(+BAI) file pair from the unsorted BAM file obtained on the step 1 (after running STAR) 5. Generate BigWig file on the base of sorted BAM file 6. Map input FASTQ file to predefined rRNA reference indices using Bowtie to define the level of rRNA contamination; export resulted statistics to file 7. Calculate isoform expression level for the sorted BAM file and GTF/TAB annotation file using GEEP reads-counting utility; export results to file

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

Path: workflows/rnaseq-se-dutp.cwl

Branch/Commit ID: dda6e8b5ada3f106a2b3bfcc1b151eccf9977726

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