Recursive MAGUS: Scalable and accurate multiple sequence alignment
Multiple sequence alignment tools struggle to keep pace with rapidly growing sequence data, as few methods can handle large datasets while maintaining alignment accuracy. We recently introduced MAGUS, a new state-of-the-art method for aligning large numbers of sequences. In this paper, we present a...
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| Format: | Article |
| Language: | English |
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Public Library of Science
2021
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| Online Access: | View Fulltext in Publisher |