Computational analysis of noncoding RNAs
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Kellis_Computational analysis.pdf
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Author(s)
Washietl, Stefan
Will, Sebastian
Hendrix, David A.
Goff, Loyal
Rinn, John L.
Berger, Bonnie
Kellis, Manolis
Date Issued
November 2012
Journal
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
Abstract
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.
MIT Department
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 Mathematics
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1002/wrna.1134
