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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2013
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| 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 |