wapRNA: a web-based application for the processing of RNA sequences
Author(s) -
Wenming Zhao,
Wanfei Liu,
Dongmei Tian,
Bixia Tang,
Yanqing Wang,
Caixia Yu,
Rujiao Li,
Yunchao Ling,
Jiayan Wu,
Shuhui Song,
Songnian Hu
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr504
Subject(s) - executable , computer science , annotation , kegg , microrna , big data , database , computational biology , world wide web , data mining , gene , biology , gene expression , gene ontology , operating system , genetics , artificial intelligence
mRNA/miRNA-seq technology is becoming the leading technology to globally profile gene expression and elucidate the transcriptional regulation mechanisms in living cells. Although there are many tools available for analyzing RNA-seq data, few of them are available as easy accessible online web tools for processing both mRNA and miRNA data for the RNA-seq based user community. As such, we have developed a comprehensive web application tool for processing mRNA-seq and miRNA-seq data. Our web tool wapRNA includes four different modules: mRNA-seq and miRNA-seq sequenced from SOLiD or Solexa platform and all the modules were tested on previously published experimental data. We accept raw sequence data with an optional reads filter, followed by mapping and gene annotation or miRNA prediction. wapRNA also integrates downstream functional analyses such as Gene Ontology, KEGG pathway, miRNA targets prediction and comparison of gene's or miRNA's different expression in different samples. Moreover, we provide the executable packages for installation on user's local server.
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