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...

Descripción completa

Detalles Bibliográficos
Autores principales: Howison, Mark, Zapata, Felipe, Edwards, Erika J., Dunn, Casey W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4072599/
https://www.ncbi.nlm.nih.gov/pubmed/24968249
http://dx.doi.org/10.1371/journal.pone.0099497

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4072599/
https://www.ncbi.nlm.nih.gov/pubmed/24968249
http://dx.doi.org/10.1371/journal.pone.0099497

Ejemplares similares