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Computational analysis of noncoding RNAs
Author(s) -
Washietl Stefan,
Will Sebastian,
Hendrix David A.,
Goff Loyal A.,
Rinn John L.,
Berger Bonnie,
Kellis Manolis
Publication year - 2012
Publication title -
wiley interdisciplinary reviews: rna
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.225
H-Index - 71
eISSN - 1757-7012
pISSN - 1757-7004
DOI - 10.1002/wrna.1134
Subject(s) - non coding rna , rna , computational biology , riboswitch , microrna , long non coding rna , biology , small nucleolar rna , genomics , nucleic acid structure , genetics , genome , gene
Noncoding RNAs have emerged as important key players in the cell. Understanding their surprisingly diverse range of functions is challenging for experimental and computational biology. Here, we review computational methods to analyze noncoding RNAs. The topics covered include basic and advanced techniques to predict RNA structures, annotation of noncoding RNAs in genomic data, mining RNA‐seq data for novel transcripts and prediction of transcript structures, computational aspects of microRNAs, and database resources. These authors contributed equally WIREs RNA 2012. doi: 10.1002/wrna.1134 This article is categorized under: RNA Structure and Dynamics > RNA Structure, Dynamics, and Chemistry RNA Evolution and Genomics > Computational Analyses of RNA Regulatory RNAs/RNAi/Riboswitches > Regulatory RNAs