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Efficient decoding algorithms for generalized hidden Markov model gene finders
BACKGROUND: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility and probabilistic underpinnings. As the focus of the gene finding community shifts toward the use of homology information t...
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| Huvudupphovsmän: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2005
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC552317/ https://ncbi.nlm.nih.gov/pubmed/15667658 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-6-16 |
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