Start Codon Prediction

Start Codon Prediction is a computational task in metagenomic gene annotation that identifies the precise initiation site of protein-coding sequences within nucleotide reads by distinguishing translationally active start codons from in-frame stop or non-initiating alternatives.

116

Publications

13.5K

Citations

419

Authors

209

Institutions

Publications per year

2017–2026

19

Authors

419

  1. MB
    Mark Borodovsky

    Georgia Institute of Technology, United States

    4 publications · 685 citations

    4

    h-index

  2. PM
    Peter Meinicke

    University of Göttingen, Germany

    3 publications · 70 citations

    3

    h-index

  3. RS
    Ramasubbu Sankararamakrishnan

    Indian Institute of Technology Kanpur, India

    3 publications · 69 citations

    3

    h-index

  4. BM
    Burkhard Morgenstern

    University of Göttingen, Germany

    2 publications · 44 citations

    2

    h-index

  5. YW
    Yonghong Wang

    National Institutes of Health, United States

    2 publications · 31 citations

    2

    h-index

1–5 of 419

Venues

  1. Bioinformatics

    14 publications · 2.3K citations

    14

    h-index

  2. Nucleic Acids Research

    13 publications · 6.4K citations

    13

    h-index

  3. BMC Bioinformatics

    7 publications · 203 citations

    7

    h-index

  4. PubMed

    Repository · 5 publications · 490 citations

    5

    h-index

  5. Gene

    4 publications · 204 citations

    4

    h-index

1–5