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Evaluating the usefulness of alignment filtering methods to reduce the impact of errors on evolutionary inferences
2019
BMC Evolutionary Biology
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 alignment algorithms and by developing methods to filter out poorly aligned regions. However, MSAs do not only contain alignment errors, but also primary sequence errors. Such errors may originate from sequencing
doi:10.1186/s12862-019-1350-2
pmid:30634908
pmcid:PMC6330419
fatcat:cr555dqdxfcjdgl5fdfsg6xnbm