VIPER: Visualization Pipeline for RNA-seq, a Snakemake workflow for efficient and complete RNA-seq analysis

Background RNA sequencing has become a ubiquitous technology used throughout life sciences as an effective method of measuring RNA abundance quantitatively in tissues and cells. The increase in use of RNA-seq technology has led to the continuous development of new tools for every step of analysis from alignment to downstream pathway analysis. However, effectively using these analysis tools in a scalable and reproducible way can be challenging, especially for non-experts. Results Using the workflow management system Snakemake we have developed a user friendly, fast, efficient, and comprehensive pipeline for RNA-seq analysis. VIPER (Visualization Pipeline for RNA-seq analysis) is an analysis workflow that combines some of the most popular tools to take RNA-seq analysis from raw sequencing data, through alignment and quality control, into downstream differential expression and pathway analysis. VIPER has been created in a modular fashion to allow for the rapid incorporation of new tools to expand the capabilities. This capacity has already been exploited to include very recently developed tools that explore immune infiltrate and T-cell CDR (Complementarity-Determining Regions) reconstruction abilities. The pipeline has been conveniently packaged such that minimal computational skills are required to download and install the dozens of software packages that VIPER uses. Conclusions VIPER is a comprehensive solution that performs most standard RNA-seq analyses quickly and effectively with a built-in capacity for customization and expansion. Electronic supplementary material The online version of this article (10.1186/s12859-018-2139-9) contains supplementary material, which is available to authorized users.

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PID https://www.doi.org/10.1186/s12859-018-2139-9
PID pmid:29649993
PID pmc:PMC5897949
URL https://doi.org/10.1186/s12859-018-2139-9
URL http://link.springer.com/article/10.1186/s12859-018-2139-9
URL http://dx.doi.org/10.1186/s12859-018-2139-9
URL https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2139-9
URL https://utsouthwestern.pure.elsevier.com/en/publications/viper-visualization-pipeline-for-rna-seq-a-snakemake-workflow-for
URL https://escholarship.umassmed.edu/oapubs/3453/
URL https://www.ncbi.nlm.nih.gov/pubmed/29649993
URL http://europepmc.org/articles/PMC5897949
URL https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2139-9
URL https://link.springer.com/content/pdf/10.1186/s12859-018-2139-9.pdf
URL https://dblp.uni-trier.de/db/journals/bmcbi/bmcbi19.html#CornwellVTHKLSL18
URL http://link.springer.com/content/pdf/10.1186/s12859-018-2139-9.pdf
URL http://link.springer.com/article/10.1186/s12859-018-2139-9/fulltext.html
URL https://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=4464&context=oapubs
URL https://doaj.org/toc/1471-2105
URL https://link.springer.com/article/10.1186/s12859-018-2139-9
URL https://academic.microsoft.com/#/detail/2799170276
URL https://dx.doi.org/10.1186/s12859-018-2139-9
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Author Cornwell, MacIntosh
Author Vangala, Mahesh
Author Taing, Len
Author Herbert, Zachary
Author Köster, Johannes
Author Li, Bo
Author Sun, Hanfei
Author Li, Taiwen
Author Zhang, Jian
Author Qiu, Xintao
Author Pun, Matthew
Author Jeselsohn, Rinath
Author Brown, Myles
Author Liu, X. Shirley
Author Long, Henry W.
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Collected From Europe PubMed Central; PubMed Central; UnpayWall; Datacite; DOAJ-Articles; Crossref; Microsoft Academic Graph
Hosted By Europe PubMed Central; BMC Bioinformatics
Journal BMC Bioinformatics, 19, null
Publication Date 2018-04-01
Publisher Springer Science and Business Media LLC
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::912121939efe4c647c13c67d526d2b64
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Last Updated 25 December 2020, 08:21 (CET)
Created 25 December 2020, 08:21 (CET)