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Graph Name Retrieved From View
workflow graph DESeq - differential gene expression analysis

Differential gene expression analysis ===================================== Differential gene expression analysis based on the negative binomial distribution Estimate variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution. DESeq1 ------ High-throughput sequencing assays such as RNA-Seq, ChIP-Seq or barcode counting provide quantitative readouts in the form of count data. To infer differential signal in such data correctly and with good statistical power, estimation of data variability throughout the dynamic range and a suitable error model are required. Simon Anders and Wolfgang Huber propose a method based on the negative binomial distribution, with variance and mean linked by local regression and present an implementation, [DESeq](http://bioconductor.org/packages/release/bioc/html/DESeq.html), as an R/Bioconductor package DESeq2 ------ In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. [DESeq2](http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html), a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression.

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

Path: workflows/deseq.cwl

Branch/Commit ID: master
workflow graph step-valuefrom-wf.cwl

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/step-valuefrom-wf.cwl

Branch/Commit ID: main
workflow graph contamination_foreign_chromosome

This workflow detect and remove foreign chromosome from a DNA fasta file

 https://github.com/ncbi/cwl-ngs-workflows-cbb.git

Path: workflows/Contamination/contamination-foreign-chromosome-blastn.cwl

Branch/Commit ID: master
workflow graph io-file-default-wf.cwl

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/io-file-default-wf.cwl

Branch/Commit ID: main
workflow graph waltz_workflow_all_bams.cwl

https://github.com/andurill/ACCESS-Pipeline.git

Path: workflows/waltz/waltz_workflow_all_bams.cwl

Branch/Commit ID: master
workflow graph Functional analyis of sequences that match the 16S SSU

https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git

Path: workflows/16S_taxonomic_analysis.cwl

Branch/Commit ID: 9c57dba
workflow graph env-wf1.cwl

https://github.com/common-workflow-language/cwl-v1.1.git

Path: tests/env-wf1.cwl

Branch/Commit ID: main
workflow graph cond-wf-002.cwl

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/conditionals/cond-wf-002.cwl

Branch/Commit ID: main
workflow graph minibam_sub_wf.cwl

This is a subworkflow of the main oxog_varbam_annotat_wf workflow - this is not meant to be run as a stand-alone workflow!

https://github.com/svonworl/oxog-dockstore-tools.git

Path: minibam_sub_wf.cwl

Branch/Commit ID: master
workflow graph work9.cwl

https://github.com/cnherrera/CWL_Workflow_DIADEM_use_case.git

Path: work9.cwl

Branch/Commit ID: main