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Augmented training of hidden Markov models to recognize remote homologs via simulated evolution

Motivation: While profile hidden Markov models (HMMs) are successful and powerful methods to recognize homologous proteins, they can break down when homology becomes too distant due to lack of sufficient training data. We show that we can improve the performance of HMMs in this domain by using a sim...

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Bibliografske podrobnosti
Main Authors: Kumar, Anoop, Cowen, Lenore
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2009
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC2732314/
https://ncbi.nlm.nih.gov/pubmed/19389731
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp265
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