Family of Hidden Markov Models and its applications to phylogenetics and metagenomics
A Profile Hidden Markov Model (HMM) is a statistical model for representing a multiple sequence alignment (MSA). Profile HMMs are important tools for sequence homology detection and have been used in wide a range of bioinformatics applications including protein structure prediction, remote homology...
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| Format: | Others |
| Language: | en |
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2014
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| Online Access: | http://hdl.handle.net/2152/26892 |