Protein-coding Sequence Prediction

Protein-Coding Sequence Prediction is the computational task of identifying regions within metagenomic DNA sequences that are likely to encode proteins, distinguished from related sequence annotation tasks by its specific focus on delineating open reading frames with evidence of translational potential and evolutionary conservation consistent with functional gene products.

131

Publications

15.1K

Citations

570

Authors

255

Institutions

Publications per year

2017–2026

28

Authors

570

  1. MB
    Mark Borodovsky

    Georgia Institute of Technology, United States

    10 publications · 827 citations

    10

    h-index

  2. TN
    Takahiro Nagase

    Kazusa DNA Research Institute, Japan

    4 publications · 736 citations

    4

    h-index

  3. MS
    Mario Stanke

    Universität Greifswald, Germany

    3 publications · 1.8K citations

    3

    h-index

  4. MR
    Michael R. Brent

    Washington University in St. Louis, United States

    3 publications · 202 citations

    3

    h-index

  5. IA
    Ivan Antonov

    Moscow Institute of Physics and Technology, Russia

    3 publications · 71 citations

    3

    h-index

1–5 of 570

Venues

  1. Nucleic Acids Research

    18 publications · 3.1K citations

    17

    h-index

  2. BMC Bioinformatics

    15 publications · 2.7K citations

    15

    h-index

  3. Genome Research

    GR · 14 publications · 2.6K citations

    14

    h-index

  4. Bioinformatics

    9 publications · 565 citations

    9

    h-index

  5. DNA Research

    9 publications · 1.1K citations

    9

    h-index

1–5