Bayesian genome assembly and assessment by markov chain monte carlo sampling.

Bayesian genome assembly and assessment by markov chain monte carlo sampling.

Most genome assemblers construct point estimates, choosing only a single genome sequence from among many alternative hypotheses that are supported by the data. We present a Markov chain Monte Carlo approach to sequence assembly that instead generates distributions of assembly hypotheses with posteri...

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Bibliographic Details
Main Authors: Mark Howison, Felipe Zapata, Erika J Edwards, Casey W Dunn
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4072599?pdf=render

Internet

http://europepmc.org/articles/PMC4072599?pdf=render

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