Evaluating the usefulness of alignment filtering methods to reduce the impact of errors on evolutionary inferences
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Title
Evaluating the usefulness of alignment filtering methods to reduce the impact of errors on evolutionary inferences
Authors
Keywords
Multiple sequence alignment, Profile hidden Markov models, Low similarity segments, Primary sequence error, Phylogeny, Positive selection
Journal
BMC EVOLUTIONARY BIOLOGY
Volume 19, Issue 1, Pages -
Publisher
Springer Nature
Online
2019-01-11
DOI
10.1186/s12862-019-1350-2
References
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