Selecting informative subsets of sparse supermatrices increases the chance to find correct trees
Selecting informative subsets of sparse supermatrices increases the chance to find correct trees
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
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 exclusive reliance on data coverage without consideration of a...
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Full title
Selecting informative subsets of sparse supermatrices increases the chance to find correct trees
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3890606
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3890606
Other Identifiers
ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/1471-2105-14-348
