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

Authors


WJ Anderson, J More by this author
Staines, J More by this author
Lyngsø, R More by this author
Journal:
BMC Bioinformatics
Volume:
13
Issue:
1
Publication date:
2012-05-04
DOI:
EISSN:
1471-2105
URN:
uuid:d3936ebd-5e6e-490d-b101-eb6f9854201a
Source identifiers:
350907
Local pid:
pubs:350907
Language:
English

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