Iterative Alignment

Iterative Alignment is a sequence alignment method that progressively refines the alignment through repeated cycles of pairwise or multiple sequence comparisons, distinguishing itself from static alignment techniques by incorporating feedback from previous iterations to improve accuracy and resolve ambiguities in homology assignment.

79

Publications

10.3K

Citations

263

Authors

114

Institutions

Publications per year

2017–2026

23

Authors

263

  1. HN
    Hermann Ney

    RWTH Aachen University, Germany

    3 publications · 365 citations

    3

    h-index

  2. KM
    Kenji Mizuguchi

    National Institute of Biomedical Innovation, Health and Nutrition, Japan

    2 publications · 61 citations

    2

    h-index

  3. JH
    Joseph H. Davis

    Massachusetts Institute of Technology, United States

    2 publications · 74 citations

    2

    h-index

  4. SB
    Serafim Batzoglou

    Stanford University, United States

    2 publications · 390 citations

    2

    h-index

  5. MW
    Mark Williams

    European Bioinformatics Institute, United Kingdom

    2 publications · 61 citations

    2

    h-index

1–5 of 263

Venues

  1. PLoS ONE

    3 publications · 88 citations

    3

    h-index

  2. Computer applications in the biosciences

    CABIOS · 3 publications · 265 citations

    3

    h-index

  3. Nucleic Acids Research

    2 publications · 605 citations

    2

    h-index

  4. 2

    h-index

  5. IEEE Transactions on Signal Processing

    2 publications · 77 citations

    2

    h-index

1–5