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HMMoC--a compiler for hidden Markov models.

Abstract:

UNLABELLED: Hidden Markov models are widely applied within computational biology. The large data sets and complex models involved demand optimized implementations, while efficient exploration of model space requires rapid prototyping. These requirements are not met by existing solutions, and hand-coding is time-consuming and error-prone. Here, I present a compiler that takes over the mechanical process of implementing HMM algorithms, by translating high-level XML descriptions into efficient C...

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Publication status:
Published

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Journal:
Bioinformatics (Oxford, England)
Volume:
23
Issue:
18
Pages:
2485-2487
Publication date:
2007-09-05
DOI:
EISSN:
1367-4811
ISSN:
1367-4803
URN:
uuid:196132f7-be92-445a-95f4-b280eae16b77
Source identifiers:
67953
Local pid:
pubs:67953

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