Literature DB >> 27439532

Identification and function annotation of long intervening noncoding RNAs.

Haitao Luo, Dechao Bu, Liang Sun, Shuangsang Fang, Zhiyong Liu, Yi Zhao.   

Abstract

RNA-seq technology offers the promise of rapid comprehensive discovery of long intervening noncoding RNAs (lincRNAs). Basic tools such as Tophat and Cufflinks have been widely used for RNA-seq assembly. However, advanced bioinformatics methodologies that allow in-depth analysis of lincRNAs are lacking. Here, we describe a computational protocol that is especially designed for the identification of novel lincRNAs and the prediction of the function. The protocol mainly includes two open-access tools, CNCI and ncFANs. CNCI allows users to distinguish noncoding from protein-coding transcripts and to retrieve novel lincRNAs. ncFANs integrates expression profiles of protein-coding and lincRNA genes to construct coexpression networks. Such networks are subsequently used to perform function predictions of unknown lincRNAs. This protocol will allow users to apply these procedures without the need of additional training. All the tools in current protocol are available http://www.bioinfo.org/np/.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Keywords:  computational method; function annotation; gene identification; network analysis; noncoding RNAs; transcriptom sequencing

Mesh:

Substances:

Year:  2017        PMID: 27439532     DOI: 10.1093/bib/bbw046

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  19 in total

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4.  Glioma cells enhance angiogenesis and inhibit endothelial cell apoptosis through the release of exosomes that contain long non-coding RNA CCAT2.

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5.  Identification of 170 New Long Noncoding RNAs in Schistosoma mansoni.

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6.  LncRNA expression profile during autophagy and Malat1 function in macrophages.

Authors:  Zhanbing Ma; Jing Zhang; Xiangrong Xu; Yuliang Qu; Hui Dong; Jie Dang; Zhenghao Huo; Guangxian Xu
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8.  Comprehensive Characterization of the RNA Editomes in Cancer Development and Progression.

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