Parallelization of MAFFT for large-scale multiple sequence alignments

Tsukasa Nakamura, Kazunori D. Yamada, Kentaro Tomii, Kazutaka Katoh

Research output: Contribution to journalArticlepeer-review

416 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)2490-2492
Number of pages3
Issue number14
Publication statusPublished - 2018 Jul 15

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics


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