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RNASurface: fast and accurate detection of locally optimal potentially structured RNA segments
Author(s) -
Ruslan Soldatov,
S.V. Vinogradova,
Andrey A. Mironov
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt701
Subject(s) - computer science , genome , source code , non coding rna , rna , computational biology , coding (social sciences) , identification (biology) , theoretical computer science , data mining , biology , genetics , mathematics , gene , statistics , botany , operating system
During the past decade, new classes of non-coding RNAs (ncRNAs) and their unexpected functions were discovered. Stable secondary structure is the key feature of many non-coding RNAs. Taking into account huge amounts of genomic data, development of computational methods to survey genomes for structured RNAs remains an actual problem, especially when homologous sequences are not available for comparative analysis. Existing programs scan genomes with a fixed window by efficiently constructing a matrix of RNA minimum free energies. A wide range of lengths of structured RNAs necessitates the use of many different window lengths that substantially increases the output size and computational efforts.

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