Functional Sequence Annotation

Functional Sequence Annotation is a computational methodology that assigns functional attributes to specific regions or elements within biological sequences by integrating experimental evidence, comparative genomics, and predictive modeling to delineate their biological roles and molecular activities.

94

Publications

17.2K

Citations

601

Authors

264

Institutions

Publications per year

2017–2026

17

Authors

601

  1. AV
    Alfonso Valencia

    Spanish National Cancer Research Centre, Spain

    3 publications · 334 citations

    3

    h-index

  2. MA
    Miguel A. Andrade‐Navarro

    Johannes Gutenberg University Mainz, Germany

    3 publications · 334 citations

    3

    h-index

  3. GG
    Ge Gao

    Peking University, China

    3 publications · 151 citations

    3

    h-index

  4. AA
    Anthony A. Hyman

    Max Planck Institute of Molecular Cell Biology and Genetics, Germany

    2 publications · 497 citations

    2

    h-index

  5. KK
    Kristian Klemon

    Munich Center for Machine Learning

    2 publications · 60 citations

    2

    h-index

1–5 of 601

Venues

  1. Bioinformatics

    11 publications · 811 citations

    11

    h-index

  2. Nucleic Acids Research

    9 publications · 1.7K citations

    9

    h-index

  3. Genome Research

    GR · 5 publications · 645 citations

    5

    h-index

  4. Nature

    3 publications · 7.4K citations

    3

    h-index

  5. BMC Bioinformatics

    3 publications · 349 citations

    3

    h-index

1–5