Muscle5: High-accuracy alignment ensembles enable unbiased assessments of sequence homology and phylogeny
Multiple sequence alignments are widely used to predict protein structure, function, and phylogeny, but are uncertain with more diverged sequences. Muscle5 generates ensembles of alternative high-accurate alignments, enabling novel confidence estimates in alignments, trees, and other inferences.
Main Author: | Robert C. Edgar |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-11-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-34630-w |
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