Explore Workflows
View already parsed workflows here or click here to add your own
Graph | Name | Retrieved From | View |
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EMG assembly for paired end Illumina
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https://github.com/proteinswebteam/ebi-metagenomics-cwl.git
Path: workflows/emg-assembly.cwl Branch/Commit ID: cac44f2cf14110fde9951161c663c4525772f616 |
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Single-cell Assign Cell Types
Single-cell Assign Cell Types ============================= Assigns cell types to Seurat clusters. |
https://github.com/datirium/workflows.git
Path: workflows/sc-assign-cell-types.cwl Branch/Commit ID: 1a46cb0e8f973481fe5ae3ae6188a41622c8532e |
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Filter differentially expressed genes from DESeq for Tag Density Profile Analyses
Filters differentially expressed genes from DESeq for Tag Density Profile Analyses ================================================================================== Tool filters output from DESeq pipeline run for genes to create a file with regions of interest for Tag Density Profile Analyses. |
https://github.com/datirium/workflows.git
Path: workflows/filter-deseq-for-heatmap.cwl Branch/Commit ID: 8049a781ac4aae579fbd3036fa0bf654532f15be |
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RNA-Seq pipeline paired-end stranded mitochondrial
Slightly changed original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for **strand specific pair-end** experiment. An additional steps were added to map data to mitochondrial chromosome only and then merge the output. Experiment files in [FASTQ](http://maq.sourceforge.net/fastq.shtml) format either compressed or not can be used. Current workflow should be used only with the pair-end strand specific RNA-Seq data. It performs the following steps: 1. `STAR` to align reads from input FASTQ file according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 2. `fastx_quality_stats` to analyze input FASTQ file and generate quality statistics file 3. `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-pe-dutp-mitochondrial.cwl Branch/Commit ID: e45ab1b9ac5c9b99fdf7b3b1be396dc42c2c9620 |
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BAM to BEDPE
Comvert BAM to BEDPE and compress the output |
https://github.com/ncbi/cwl-ngs-workflows-cbb.git
Path: workflows/File-formats/bamtobedpe-gzip.cwl Branch/Commit ID: e541470bc9d0b064bc4ed7dd2b45d8ec67760613 |
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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 |
https://github.com/datirium/workflows.git
Path: workflows/rnaseq-pe-dutp.cwl Branch/Commit ID: 1a46cb0e8f973481fe5ae3ae6188a41622c8532e |
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hello_world.cwl
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https://github.com/Richard-Hansen/hello_world.git
Path: hello_world.cwl Branch/Commit ID: 672acbfe4fcd5472c7a6294444bc3c52bfc44c42 |
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kmer_top_n_extract
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https://github.com/ncbi/pgap.git
Path: task_types/tt_kmer_top_n_extract.cwl Branch/Commit ID: 664e99a23a3ed4ba36c08323ac597c4fbcd88df1 |
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AltAnalyze ICGS
AltAnalyze ICGS =============== |
https://github.com/datirium/workflows.git
Path: workflows/altanalyze-icgs.cwl Branch/Commit ID: 935a78f1aff757f977de4e3672aefead3b23606b |
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rna amplicon analysis for fasta files
RNAs - qc, preprocess, annotation, index, abundance |
https://github.com/MG-RAST/pipeline.git
Path: CWL/Workflows/amplicon-fasta.workflow.cwl Branch/Commit ID: 091374dc59a23966338638a668ae397d4ee20b2f |