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Evolving stochastic context--free grammars for RNA secondary structure prediction.

Abstract:

BACKGROUND: Stochastic Context-Free Grammars (SCFGs) were applied successfully to RNA secondary structure prediction in the early 90s, and used in combination with comparative methods in the late 90s. The set of SCFGs potentially useful for RNA secondary structure prediction is very large, but a few intuitively designed grammars have remained dominant. In this paper we investigate two automatic search techniques for effective grammars - exhaustive search for very compact grammars and an evolu...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1186/1471-2105-13-78

Authors


Wj Anderson, J More by this author
Staines, J More by this author
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Institution:
University of Oxford
Lyngsø, R More by this author
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Funding agency for:
Hein, J
European Union More from this funder
Publisher:
BioMed Central Ltd. Publisher's website
Journal:
BMC bioinformatics Journal website
Volume:
13
Issue:
1
Pages:
78
Publication date:
2012
DOI:
EISSN:
1471-2105
ISSN:
1471-2105
URN:
uuid:0fde0e9a-e908-4400-8db4-4c23d198ec58
Source identifiers:
329029
Local pid:
pubs:329029

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