Explore Workflows
View already parsed workflows here or click here to add your own
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RNA-Seq pipeline paired-end strand specific
The original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for a **paired-end** experiment. A corresponded input [FASTQ](http://maq.sourceforge.net/fastq.shtml) file has to be provided. Current workflow should be used only with the paired-end RNA-Seq data. It performs the following steps: 1. Use STAR to align reads from input FASTQ files according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 2. Use fastx_quality_stats to analyze input FASTQ files and generate quality statistics files 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) 4. Generate BigWig file on the base of sorted BAM file 5. Map input FASTQ files to predefined rRNA reference indices using Bowtie to define the level of rRNA contamination; export resulted statistics to file 6. Calculate isoform expression level for the sorted BAM file and GTF/TAB annotation file using GEEP reads-counting utility; export results to file |
Path: workflows/rnaseq-pe-dutp.cwl Branch/Commit ID: 5e7385b8cfa4ddae822fff37b6bd22eb0370b389 |
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rnaseq-se-dutp.cwl
Runs RNA-Seq dUTP BioWardrobe basic analysis with strand specific single-end data file. |
Path: workflows/rnaseq-se-dutp.cwl Branch/Commit ID: cf678db8304ffaa20c1d6c854364db5ed41803c2 |
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group-isoforms-batch.cwl
Workflow runs group-isoforms.cwl tool using scatter for isoforms_file input. genes_filename and common_tss_filename inputs are ignored. |
Path: tools/group-isoforms-batch.cwl Branch/Commit ID: 261c0232a7a40880f2480b811ed2d7e89c463869 |
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count-lines7-wf_v1_2.cwl
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Path: testdata/count-lines7-wf_v1_2.cwl Branch/Commit ID: 15c8467d6d3c31a95ccc682095cf34aad125ca8c |
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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. |
Path: workflows/sc-rna-trajectory.cwl Branch/Commit ID: 261c0232a7a40880f2480b811ed2d7e89c463869 |
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trim-chipseq-se.cwl
Runs ChIP-Seq BioWardrobe basic analysis with single-end data file. |
Path: workflows/trim-chipseq-se.cwl Branch/Commit ID: cf678db8304ffaa20c1d6c854364db5ed41803c2 |
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workflow_input_sf_expr_array.cwl
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Path: testdata/workflow_input_sf_expr_array.cwl Branch/Commit ID: 15c8467d6d3c31a95ccc682095cf34aad125ca8c |
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kfdrc_sentieon_alignment_wf.cwl
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Path: workflows/kfdrc_sentieon_alignment_wf.cwl Branch/Commit ID: af97e25cb213233a4923c881f7c6210b57960cb9 |
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Single-Cell RNA-Seq Dimensionality Reduction Analysis
Single-Cell RNA-Seq Dimensionality Reduction Analysis Removes noise and confounding sources of variation by reducing dimensionality of gene expression data from the outputs of “Single-Cell RNA-Seq Filtering Analysis” or “Single-Cell Multiome ATAC and RNA-Seq Filtering Analysis” pipelines. The results of this workflow are primarily used in “Single-Cell RNA-Seq Cluster Analysis” or “Single-Cell WNN Cluster Analysis” pipelines. |
Path: workflows/sc-rna-reduce.cwl Branch/Commit ID: 261c0232a7a40880f2480b811ed2d7e89c463869 |
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Set Operations for Called Peaks (ChIP/ATAC/C&R/diffbind)
# Set Operations for Peaks This workflow takes as input multiple peak list TSV files (the `iaintersect_result.tsv` output under the \"Files\" output tab) from the ChIP, ATAC, C&R, or diffbind workflows and performs the user-selected set operation on the group. Set operations include intersection, union, difference, and complement. See the tooltip for the `set_operator` input for more details. |
Path: workflows/filter-peaks-by-overlap.cwl Branch/Commit ID: 261c0232a7a40880f2480b811ed2d7e89c463869 |
