Stop Codon Prediction

Stop Codon Prediction is a computational task in sequence annotation that involves identifying the positions of stop codons within a nucleotide sequence to determine the termination points of protein-coding regions.

98

Publications

7.9K

Citations

524

Authors

223

Institutions

Publications per year

2017–2026

17

Authors

524

  1. DJ
    Daniel J. Wolter

    University of Washington, United States

    2 publications · 196 citations

    2

    h-index

  2. AH
    Anne H. Child

    St George's, University of London, United Kingdom

    2 publications · 147 citations

    2

    h-index

  3. HW
    Huimei Wang

    Northeast Forestry University, China

    2 publications · 93 citations

    2

    h-index

  4. YS
    Yongfeng Shi

    China National Rice Research Institute, China

    2 publications · 93 citations

    2

    h-index

  5. ME
    Marion E. Reid

    New York Blood Center, United States

    2 publications · 51 citations

    2

    h-index

1–5 of 524

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 7 publications · 2K citations

    7

    h-index

  2. PubMed

    Repository · 6 publications · 273 citations

    6

    h-index

  3. Bioinformatics

    5 publications · 382 citations

    5

    h-index

  4. Nucleic Acids Research

    3 publications · 1K citations

    3

    h-index

  5. Journal of Biological Chemistry

    JBC · 3 publications · 417 citations

    3

    h-index

1–5