Muscle5: High-accuracy alignment ensembles enable unbiased assessments of sequence homology and phylogeny.
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ABSTRACT:
SUBMITTER: Edgar RC
PROVIDER: S-EPMC9664440 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature
Publications
Muscle5: High-accuracy alignment ensembles enable unbiased assessments of sequence homology and phylogeny.
Nature communications 20221115 1
Multiple sequence alignments are widely used to infer evolutionary relationships, enabling inferences of structure, function, and phylogeny. Standard practice is to construct one alignment by some preferred method and use it in further analysis; however, undetected alignment bias can be problematic. I describe Muscle5, a novel algorithm which constructs an ensemble of high-accuracy alignment with diverse biases by perturbing a hidden Markov model and permuting its guide tree. Confidence in an in ...[more]
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