Explore Workflows
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PCA - Principal Component Analysis
Principal Component Analysis --------------- Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables (entities each of which takes on various numerical values) into a set of values of linearly uncorrelated variables called principal components. The calculation is done by a singular value decomposition of the (centered and possibly scaled) data matrix, not by using eigen on the covariance matrix. This is generally the preferred method for numerical accuracy. |
![]() Path: workflows/pca.cwl Branch/Commit ID: 581156366f91861bd4dbb5bcb59f67d468b32af3 |
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Detect Variants workflow for WGS pipeline
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![]() Path: definitions/pipelines/detect_variants_wgs.cwl Branch/Commit ID: 889a077a20c0fdb01f4ed97aa4bc40f920c37a1a |
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kmer_seq_entry_extract_wnode
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![]() Path: task_types/tt_kmer_seq_entry_extract_wnode.cwl Branch/Commit ID: da35c7b700912dd3643e3dd2c5c96b7be3a4edad |
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Gene expression merge - combines RPKM gene expression from several experiments
Gene expression merge - combines RPKM gene expression from several experiments =================================================================================== Workflows merges RPKM gene expression from several experiments based on the values from GeneId, Chrom, TxStart, TxEnd and Strand columns. Reported RPKM columns are renamed based on the experiments names. |
![]() Path: workflows/feature-merge.cwl Branch/Commit ID: a839eb6390974089e1a558c49fc07b4c66c50767 |
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xenbase-rnaseq-pe.cwl
XenBase workflow for analysing RNA-Seq paired-end data |
![]() Path: workflows/xenbase-rnaseq-pe.cwl Branch/Commit ID: 9a2c389364674221fab3f0f6afdda799e6aa3247 |
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Single-Cell Preprocessing Cell Ranger Pipeline
Devel version of Single-Cell Preprocessing Cell Ranger Pipeline =============================================================== |
![]() Path: workflows/single-cell-preprocess-cellranger.cwl Branch/Commit ID: a839eb6390974089e1a558c49fc07b4c66c50767 |
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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 |
![]() Path: workflows/rnaseq-pe-dutp-mitochondrial.cwl Branch/Commit ID: b957a4f681bf0ca8ebba4e0d0ec3936bf79620c5 |
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star_samtools_stringtie-prepDE-DESeq2.htseq-dexseq.cwl
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![]() Path: workflows/star_samtools_stringtie-prepDE-DESeq2.htseq-dexseq.cwl Branch/Commit ID: bbbbd9dd412a6abfee9bb0c9e9754cb8b5294b02 |
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rnaseq-se-dutp.cwl
RNA-Seq basic analysis workflow for strand specific single-read experiment. |
![]() Path: workflows/rnaseq-se-dutp.cwl Branch/Commit ID: 94471ee6c01b7bc17102e45e56e7366c2a52acdf |
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exome alignment and tumor-only variant detection
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![]() Path: definitions/pipelines/tumor_only_exome.cwl Branch/Commit ID: 049f4aeff4c4a1b8421cac9b1c1c1f0da5848315 |