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zipHMMlib: a highly optimised HMM library exploiting repetitions in the input to speed up the forward algorithm
BACKGROUND: Hidden Markov models are widely used for genome analysis as they combine ease of modelling with efficient analysis algorithms. Calculating the likelihood of a model using the forward algorithm has worst case time complexity linear in the length of the sequence and quadratic in the number...
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| Veröffentlicht in: | BMC Bioinformatics |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4222747/ https://ncbi.nlm.nih.gov/pubmed/24266924 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-14-339 |
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