Computational analysis of noncoding RNAs
Author(s)
Washietl, Stefan; Will, Sebastian; Hendrix, David A.; Goff, Loyal; Rinn, John L.; Berger, Bonnie; Kellis, Manolis; ... Show more Show less
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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.
Date issued
2012-11Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Department of MathematicsJournal
Wiley Interdisciplinary Reviews: RNA
Publisher
John Wiley & Sons, Inc
Citation
Washietl, Stefan, Sebastian Will, David A. Hendrix, Loyal A. Goff, John L. Rinn, Bonnie Berger, and Manolis Kellis. “Computational Analysis of Noncoding RNAs.” WIREs RNA 3, no. 6 (November 2012): 759–778.
Version: Author's final manuscript
ISSN
17577004