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Hidden Markov model speed heuristic and iterative HMM search procedure
BACKGROUND: Profile hidden Markov models (profile-HMMs) are sensitive tools for remote protein homology detection, but the main scoring algorithms, Viterbi or Forward, require considerable time to search large sequence databases. RESULTS: We have designed a series of database filtering steps, HMMERH...
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| Päätekijät: | , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2010
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2931519/ https://ncbi.nlm.nih.gov/pubmed/20718988 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-431 |
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