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OneStopRNAseq: A Web Application for Comprehensive and Efficient Analyses of RNA-Seq Data.

Authors :
Li, Rui
Hu, Kai
Liu, Haibo
Green, Michael R.
Zhu, Lihua Julie
Source :
Genes. Oct2020, Vol. 11 Issue 10, p1165-1165. 1p.
Publication Year :
2020

Abstract

Over the past decade, a large amount of RNA sequencing (RNA-seq) data were deposited in public repositories, and more are being produced at an unprecedented rate. However, there are few open source tools with point-and-click interfaces that are versatile and offer streamlined comprehensive analysis of RNA-seq datasets. To maximize the capitalization of these vast public resources and facilitate the analysis of RNA-seq data by biologists, we developed a web application called OneStopRNAseq for the one-stop analysis of RNA-seq data. OneStopRNAseq has user-friendly interfaces and offers workflows for common types of RNA-seq data analyses, such as comprehensive data-quality control, differential analysis of gene expression, exon usage, alternative splicing, transposable element expression, allele-specific gene expression quantification, and gene set enrichment analysis. Users only need to select the desired analyses and genome build, and provide a Gene Expression Omnibus (GEO) accession number or Dropbox links to sequence files, alignment files, gene-expression-count tables, or rank files with the corresponding metadata. Our pipeline facilitates the comprehensive and efficient analysis of private and public RNA-seq data. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734425
Volume :
11
Issue :
10
Database :
Academic Search Index
Journal :
Genes
Publication Type :
Academic Journal
Accession number :
146659786
Full Text :
https://doi.org/10.3390/genes11101165