Coding Potential Estimation

Coding Potential Estimation is a computational method that quantifies the likelihood of a metagenomic sequence containing protein-coding genes by distinguishing coding from non-coding regions based on sequence features, evolutionary conservation, and statistical models.

32

Publications

10.1K

Citations

169

Authors

88

Institutions

Publications per year

2017–2026

8

Authors

169

  1. GG
    Ge Gao

    Peking University, China

    3 publications · 4.9K citations

    3

    h-index

  2. LW
    Liping Wei

    Peking University, China

    2 publications · 4.8K citations

    2

    h-index

  3. WL
    Wen‐Hsiung Li

    University of Chicago, United States

    2 publications · 509 citations

    2

    h-index

  4. LK
    Lei Kong

    Chinese Academy of Sciences, China

    2 publications · 4.8K citations

    2

    h-index

  5. TL
    Timothy L. Bailey

    The University of Queensland, Australia

    1 publications · 111 citations

    1

    h-index

1–5 of 169

Venues

  1. Nucleic Acids Research

    4 publications · 7.2K citations

    4

    h-index

  2. Genome Research

    GR · 4 publications · 748 citations

    4

    h-index

  3. 2

    h-index

  4. BMC Genomics

    2 publications · 134 citations

    2

    h-index

  5. DNA Research

    2 publications · 255 citations

    2

    h-index

1–5