MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization

By Kazutaka Katoh, John Rozewicki, Kazunori D. Yamada. 2017

7,650 citations recorded by the source corpus.

Abstract This article describes several features in the MAFFT online service for multiple sequence alignment (MSA). As a result of recent advances in sequencing technologies, huge numbers of biological sequences are available and the need for MSAs with large numbers of sequences is increasing. To extract biologically relevant information from such data, sophistication of algorithms is necessary but not sufficient. Intuitive and interactive tools for experimental biologists to semiautomatically handle large data are becoming important. We are working on development of MAFFT toward these two directions. Here, we explain (i) the Web interface for recently developed options for large data and (ii) interactive usage to refine sequence data sets and MSAs.

Subfields: Artificial Intelligence, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Kazunori D. Yamada
  2. K. D. Hyde
  3. Kazutaka Katoh
  4. Ali H. Bahkali
  5. Asha J. Dissanayake
  6. R. Jeewon
  7. Kentaro Tomii
  8. Robert C. Edgar

In Molecular Biology

  1. K. D. Hyde
  2. Kazunori D. Yamada
  3. Kentaro Tomii
  4. Asha J. Dissanayake
  5. R. Jeewon
  6. Paul Schulze-Lefert
  7. Ruben Garrido-Oter
  8. Matthew A. Spence

Citations in the corpus