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CGAL: computing genome assembly likelihoods

Assembly algorithms have been extensively benchmarked using simulated data so that results can be compared to ground truth. However, in de novo assembly, only crude metrics such as contig number and size are typically used to evaluate assembly quality. We present CGAL, a novel likelihood-based appro...

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Detalles Bibliográficos
Autores principales: Rahman, Atif, Pachter, Lior
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3663106/
https://www.ncbi.nlm.nih.gov/pubmed/23360652
http://dx.doi.org/10.1186/gb-2013-14-1-r8