Evaluating the usefulness of alignment filtering methods to reduce the impact of errors on evolutionary inferences

Evaluating the usefulness of alignment filtering methods to reduce the impact of errors on evolutionary inferences

Abstract Background Multiple Sequence Alignments (MSAs) are the starting point of molecular evolutionary analyses. Errors in MSAs generate a non-historical signal that can lead to incorrect inferences. Therefore, numerous efforts have been made to reduce the impact of alignment errors, by improving...

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Bibliographic Details
Main Authors: Arnaud Di Franco, Raphaël Poujol, Denis Baurain, Hervé Philippe
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BMC Evolutionary Biology
Subjects:
Multiple sequence alignment
Profile hidden Markov models
Low similarity segments
Primary sequence error
Phylogeny
Positive selection
Online Access:http://link.springer.com/article/10.1186/s12862-019-1350-2

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http://link.springer.com/article/10.1186/s12862-019-1350-2

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