Selecting optimal partitioning schemes for phylogenomic datasets
Selecting optimal partitioning schemes for phylogenomic datasets
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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
Partitioning involves estimating independent models of molecular evolution for different subsets of sites in a sequence alignment, and has been shown to improve phylogenetic inference. Current methods for estimating best-fit partitioning schemes, however, are only computationally feasible with datasets of fewer than 100 loci. This is a problem beca...
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Full title
Selecting optimal partitioning schemes for phylogenomic datasets
Authors, Artists and Contributors
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4012149
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4012149
Other Identifiers
ISSN
1471-2148
E-ISSN
1471-2148
DOI
10.1186/1471-2148-14-82
