Computational Alignment Algorithms

Computational Alignment Algorithms is a computational methodology that distinguishes itself by systematically identifying optimal correspondences between genomic sequences through algorithmic optimization of alignment scoring metrics under biologically informed constraints.

755

Publications

216.7K

Citations

2K

Authors

758

Institutions

Publications per year

2017–2026

117

Authors

2K

  1. WM
    Webb Miller

    Pennsylvania State University, United States

    22 publications · 11.5K citations

    19

    h-index

  2. LP
    Lior Pachter

    University of California, Berkeley, United States

    11 publications · 1.6K citations

    11

    h-index

  3. CN
    Cédric Notredame

    Centre for Genomic Regulation, Spain

    11 publications · 1.4K citations

    11

    h-index

  4. RC
    Ross C. Hardison

    Pennsylvania State University, United States

    11 publications · 2.1K citations

    11

    h-index

  5. BM
    Burkhard Morgenstern

    University of Göttingen, Germany

    11 publications · 1.2K citations

    11

    h-index

1–5 of 2K

Venues

  1. Bioinformatics

    141 publications · 47.6K citations

    62

    h-index

  2. Nucleic Acids Research

    49 publications · 65.8K citations

    34

    h-index

  3. BMC Bioinformatics

    66 publications · 17.1K citations

    32

    h-index

  4. Computer applications in the biosciences

    CABIOS · 33 publications · 8.5K citations

    26

    h-index

  5. Journal of Computational Biology

    35 publications · 7.6K citations

    21

    h-index

1–5