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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2014
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| Materias: | |
| 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 |