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Cited by 1,038

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Parallelization of MAFFT for large-scale multiple sequence alignments

Open access
Nakamura, Tsukasa, Yamada, Kazunori D, Tomii, Kentaro, Katoh, Kazutaka·2018·Bioinformatics

Abstract

Summary: We report an update for the MAFFT multiple sequence alignment program to enable parallel calculation of large numbers of sequences. The G-INS-1 option of MAFFT was recently reported to have higher accuracy than other methods for large data, but this method has been impractical for most large-scale analyses, due to the requirement of large computational resources. We introduce a scalable variant, G-large-INS-1, which has equivalent accuracy to G-INS-1 and is applicable to 50 000 or more sequences. Availability and implementation: This feature is available in MAFFT versions 7.355 or later at https://mafft.cbrc.jp/alignment/software/mpi.html. Supplementary information: Supplementary data are available at Bioinformatics online.

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Metadata

Authors
Nakamura, T., Yamada, K. D., Tomii, K., & Katoh, K.
Venue
Bioinformatics
Published
2018-03-01
Volume
34
Issue
14
Pages
2490-2492
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2792034759
Cited by
1,038
References
1
FWCI
27.07
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Parallelization of MAFFT for large-scale multiple sequence alignments. https://app.cochat.ai/papers/10.1093/bioinformatics/bty121
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Nakamura, T., Yamada, K. D., Tomii, K., & Katoh, K. (2018). Parallelization of MAFFT for large-scale multiple sequence alignments. Bioinformatics. https://doi.org/10.1093/bioinformatics/bty121

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