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Bayesian Top-Down Protein Sequence Alignment with Inferred Position-Specific Gap Penalties
We describe a Bayesian Markov chain Monte Carlo (MCMC) sampler for protein multiple sequence alignment (MSA) that, as implemented in the program GISMO and applied to large numbers of diverse sequences, is more accurate than the popular MSA programs MUSCLE, MAFFT, Clustal-Ω and Kalign. Features of GI...
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| Vydáno v: | PLoS Comput Biol |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4871425/ https://ncbi.nlm.nih.gov/pubmed/27192614 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1004936 |
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