Matrix Benchmarking

Matrix Benchmarking is a methodological framework within bioinformatics that systematically evaluates the performance of substitution matrices by comparing their effectiveness in sequence alignment tasks against standardized biological datasets and established metrics.

6

Publications

283

Citations

21

Authors

14

Institutions

Publications per year

2017–2026

0

Authors

21

  1. HS
    Heladia Salgado

    Universidad Nacional Autónoma de México, Mexico

    1 publications · 73 citations

    1

    h-index

  2. MG
    Michael Goesele

    Technische Universität Darmstadt, Germany

    1 publications · 23 citations

    1

    h-index

  3. ZW
    Zhiping Weng

    University of Massachusetts Chan Medical School, United States

    1 publications · 12 citations

    1

    h-index

  4. BD
    Bertrand De Meulder

    University of Amsterdam, Netherlands

    1 publications · 25 citations

    1

    h-index

  5. VG
    V. Gil

    Universitat Autònoma de Barcelona, Spain

    1 publications · 16 citations

    1

    h-index

1–5 of 21

Venues

  1. BMC Bioinformatics

    2 publications · 48 citations

    2

    h-index

  2. PubMed

    Repository · 1 publications · 12 citations

    1

    h-index

  3. Nucleic Acids Research

    1 publications · 73 citations

    1

    h-index

  4. Benchmarking An International Journal

    1 publications · 134 citations

    1

    h-index

  5. Bioinformatics

    1 publications · 16 citations

    1

    h-index

1–5