Explore Workflows
View already parsed workflows here or click here to add your own
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count-lines7-wf_v1_1.cwl
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![]() Path: testdata/count-lines7-wf_v1_1.cwl Branch/Commit ID: e78db9870cb744fe36674f43b3223c688e9989e1 |
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umi molecular alignment workflow
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![]() Path: definitions/subworkflows/molecular_qc.cwl Branch/Commit ID: e59c77629936fad069007ba642cad49fef7ad29f |
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Bacterial Annotation, pass 1, genemark training, by HMMs (first pass)
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![]() Path: bacterial_annot/wf_orf_hmms.cwl Branch/Commit ID: 2afb5ebafd1353ba063cc74ee9a7eaf347afce5c |
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AltAnalyze cell-level matching and comparison of single-cell transcriptomes
Devel version of AltAnalyze CellHarmony ======================================= cellHarmony is a cell-matching algorithm designed to identify a cell's most similar analogue in a distinct single-cell RNA-Seq (scRNA-Seq) dataset and find differentially expressed genes in each cell population. |
![]() Path: workflows/altanalyze-cellharmony.cwl Branch/Commit ID: 7ced5a5259dbd8b3fc64456beaeffd44f4a24081 |
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SoupX (workflow) - an R package for the estimation and removal of cell free mRNA contamination
Wrapped in a workflow SoupX tool for easy access to Cell Ranger pipeline compressed outputs. |
![]() Path: tools/soupx-subworkflow.cwl Branch/Commit ID: a84cefded73e7c864ee2b6c7ab0604a0397462ec |
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cond-wf-003.1.cwl
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![]() Path: testdata/cond-wf-003.1.cwl Branch/Commit ID: 0ab1d42d10f7311bb4032956c4a6f3d2730d9507 |
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kmer_cache_store
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![]() Path: task_types/tt_kmer_cache_store.cwl Branch/Commit ID: ca75d68eb74c93b35b404ec7908dc5b260e16466 |
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Trim Galore SMARTer RNA-Seq pipeline paired-end strand specific
https://chipster.csc.fi/manual/library-type-summary.html Modified original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for a **pair-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 single-end RNA-Seq data. It performs the following steps: 1. Trim adapters from input FASTQ files 2. Use STAR to align reads from input FASTQ files according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 3. Use fastx_quality_stats to analyze input FASTQ files and generate quality statistics files 4. 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 files 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 |
![]() Path: workflows/trim-rnaseq-pe-smarter-dutp.cwl Branch/Commit ID: 7ced5a5259dbd8b3fc64456beaeffd44f4a24081 |
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conflict-wf.cwl#collision
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![]() Path: tests/conflict-wf.cwl Branch/Commit ID: e62f99dd79d6cb9c157cceb458f74200da84f6e9 Packed ID: collision |
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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: 46d3d403ddb240d5a8f4f31ab992b6d6a2686745 |