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Artículo

Profile hidden Markov models.

Sean R. Eddy · Bioinformatics · 1998

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Author / responsible party
Sean R. Eddy
Publisher
Bioinformatics
Year
1998
Language
English

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The recent literature on profile hidden Markov model (profile HMM) methods and software is reviewed. Profile HMMs turn a multiple sequence alignment into a position-specific scoring system suitable for searching databases for remotely homologous sequences. Profile HMM analyses complement standard pairwise comparison methods for large-scale sequence analysis. Several software implementations and two large libraries of profile HMMs of common protein domains are available. HMM methods performed comparably to threading methods in the CASP2 structure prediction exercise.

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APA 7

Eddy, S. R. (1998). Profile hidden Markov models. https://doi.org/10.1093/bioinformatics/14.9.755

MLA

Eddy, Sean R. "Profile hidden Markov models." 1998. https://doi.org/10.1093/bioinformatics/14.9.755.

Chicago

Eddy, Sean R. 1998. "Profile hidden Markov models.". https://doi.org/10.1093/bioinformatics/14.9.755.

Harvard

Eddy, S. R. 1998, Profile hidden Markov models, Bioinformatics, available at: https://doi.org/10.1093/bioinformatics/14.9.755 [Accessed 8 Aug. 2026].

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Title
Profile hidden Markov models.
Author / contributors
Sean R. Eddy
Publisher
Bioinformatics
Publication year
1998
Language
English

Subjects

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Computer science; Markov model; Markov chain; Hidden Markov model; Artificial intelligence; Machine learning
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