Explore Workflows

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Graph Name Retrieved From View
workflow graph RNA-Seq pipeline single-read

The original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for a **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.cwl

Branch/Commit ID: 4f48ee6f8665a34cdf96e89c012ee807f80c7a3d
workflow graph tt_univec_wnode.cwl

https://github.com/ncbi/pgap.git

Path: task_types/tt_univec_wnode.cwl

Branch/Commit ID: 807fe40bca1fbd18ede6250851b9f71de98da69b
workflow graph 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.

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

Path: workflows/pca.cwl

Branch/Commit ID: a8eaf61c809d76f55780b14f2febeb363cf6373f
workflow graph Detect Docm variants

https://github.com/genome/analysis-workflows.git

Path: definitions/subworkflows/docm_cle.cwl

Branch/Commit ID: 3bebaf9b70331de9f4845e2223c55082f5a812fb
workflow graph contig LCA

create LCA consistant across input contigs contigs order of precedence - rRNA, single copy gene, LCA of genes

https://github.com/MG-RAST/pipeline.git

Path: CWL/Workflows/contig-lca.workflow.cwl

Branch/Commit ID: 932da3abed7166bd5a962871386ba2c31d47b85c
workflow graph Run pindel on provided region

https://github.com/genome/analysis-workflows.git

Path: definitions/subworkflows/pindel_region.cwl

Branch/Commit ID: 40097e1ed094c5b42b68f3db2ff2cbe78c182479
workflow graph ug-distr.cwl

https://github.com/sentieon/sentieon-cwl.git

Path: stage/ug-distr.cwl

Branch/Commit ID: d20382adfe7285cb517a25d95d2bcb7586546e23
workflow graph indexing_bed

https://gitlab.bsc.es/lrodrig1/structuralvariants_poc.git

Path: structuralvariants/subworkflows/indexing_bed.cwl

Branch/Commit ID: 7fe278136146cbe6567816f1819f0725afeba021
workflow graph foldseek easy-search sub-workflow

retrieve sequence from blastdbcmd result makeblastdb: ../Tools/14_makeblastdb.cwl blastdbcmd: ../Tools/15_blastdbcmd.cwl seqretsplit: ../Tools/16_seqretsplit.cwl needle (Global alignment): ../Tools/17_needle.cwl water (Local alignment): ../Tools/17_water.cwl

https://github.com/yonesora56/plant2human.git

Path: Workflow/11_retrieve_sequence_wf.cwl

Branch/Commit ID: 9bd80581d7ced3ee307b020eb4b091e411c3cbfb
workflow graph phase VCF

https://github.com/genome/analysis-workflows.git

Path: definitions/subworkflows/phase_vcf.cwl

Branch/Commit ID: 258bd4353ad1ca7790b3ae626bf42ab8194e7561