Letting the data speak for themselves: a fully Bayesian approach to transcriptome assembly

A novel method for transcriptome assembly, Bayesembler, provides greater accuracy without sacrifice of computational speed, and particular advantages for alternative transcripts expressed at low levels.

Detalles Bibliográficos
Autor principal: Schulz, Marcel H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Highlight
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4318165/
https://www.ncbi.nlm.nih.gov/pubmed/25830215
http://dx.doi.org/10.1186/s13059-014-0498-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4318165/
https://www.ncbi.nlm.nih.gov/pubmed/25830215
http://dx.doi.org/10.1186/s13059-014-0498-8

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