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...

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Detalles Bibliográficos
Autores principales: Misof, Bernhard, Meyer, Benjamin, von Reumont, Björn Marcus, Kück, Patrick, Misof, Katharina, Meusemann, Karen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Methodology Article
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

Internet

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

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