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Selecting informative subsets of sparse supermatrices increases the chance to find correct trees
BACKGROUND: Character matrices with extensive missing data are frequently used in phylogenomics with potentially detrimental effects on the accuracy and robustness of tree inference. Therefore, many investigators select taxa and genes with high data coverage. Drawbacks of these selections are their...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3890606/ https://www.ncbi.nlm.nih.gov/pubmed/24299043 http://dx.doi.org/10.1186/1471-2105-14-348 |