Computational analysis of noncoding RNAs

被引:49
|
作者
Washietl, Stefan [1 ,2 ]
Will, Sebastian [1 ]
Hendrix, David A. [1 ]
Goff, Loyal A. [1 ,3 ]
Rinn, John L. [2 ,3 ]
Berger, Bonnie [1 ,2 ,4 ]
Kellis, Manolis [1 ,2 ]
机构
[1] MIT, Comp Sci & Artificial Intelligence Lab, Cambridge, MA 02139 USA
[2] MIT, Broad Inst, Cambridge, MA 02139 USA
[3] Harvard Univ, Dept Stem Cell & Regenerat Biol, Cambridge, MA 02138 USA
[4] MIT, Dept Math, Cambridge, MA 02139 USA
基金
美国国家科学基金会;
关键词
SECONDARY STRUCTURE PREDICTION; DIFFERENTIAL EXPRESSION ANALYSIS; DYNAMIC-PROGRAMMING ALGORITHM; STRUCTURED RNAS; MICRORNA PRECURSORS; GENE-EXPRESSION; THERMODYNAMIC PARAMETERS; SYSTEMATIC DISCOVERY; PARTITION-FUNCTION; FOLDING ALGORITHM;
D O I
10.1002/wrna.1134
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
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 For further resources related to this article, please visit the WIREs website.
引用
收藏
页码:759 / 778
页数:20
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