VIPER: Visualization Pipeline for RNA-seq, a Snakemake workflow for efficient and complete RNA-seq analysis.
VIPER: Visualization Pipeline for RNA-seq, a Snakemake workflow for efficient and complete RNA-seq analysis.
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DOI:
10.1186/s12859-018-2139-9
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发表时间:
2018-04-12
影响因子:
3
通讯作者:
Long HW
中科院分区:
文献类型:
--
作者:
Cornwell M;Vangala M;Taing L;Herbert Z;Köster J;Li B;Sun H;Li T;Zhang J;Qiu X;Pun M;Jeselsohn R;Brown M;Liu XS;Long HW
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. 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. VIPER is a comprehensive solution that performs most standard RNA-seq analyses quickly and effectively with a built-in capacity for customization and expansion. 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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影响因子:
5.8
作者:
Gu, Zuguang;Eils, Roland;Schlesner, Matthias
通讯作者:
Schlesner, Matthias
影响因子:
1.2
作者:
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作者:
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DOI:
10.1093/bioinformatics/btt011
发表时间:
2013-03-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
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作者:
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通讯作者:
Chan TF
影响因子:
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作者:
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通讯作者:
Liu XS