Literature DB >> 21896507

wapRNA: a web-based application for the processing of RNA sequences.

Wenming Zhao1, Wanfei Liu, Dongmei Tian, Bixia Tang, Yanqing Wang, Caixia Yu, Rujiao Li, Yunchao Ling, Jiayan Wu, Shuhui Song, Songnian Hu.   

Abstract

SUMMARY: 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. AVAILABILITY: wapRNA is freely available for use at http://waprna.big.ac.cn. The executable packages and the instruction for installation can be downloaded from our web site. CONTACT: husn@big.ac.cn; songshh@big.ac.cn. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Year:  2011        PMID: 21896507     DOI: 10.1093/bioinformatics/btr504

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  30 in total

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9.  shortran: a pipeline for small RNA-seq data analysis.

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10.  Comparative transcriptome profiling reveals different expression patterns in Xanthomonas oryzae pv. oryzae strains with putative virulence-relevant genes.

Authors:  Fan Zhang; Zhenglin Du; Liyu Huang; Casiana Vera Cruz; Yongli Zhou; Zhikang Li
Journal:  PLoS One       Date:  2013-05-29       Impact factor: 3.240

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