Operon Prediction

Operon Prediction is a computational method that identifies the likely organization and boundaries of operons in prokaryotic genomes by integrating genomic sequence features and transcriptional signals to distinguish functionally co-regulated gene clusters from solitary genes.

123

Publications

10.8K

Citations

440

Authors

212

Institutions

Publications per year

2017–2026

17

Authors

440

  1. YX
    Ying Xu

    University of Georgia, United States

    6 publications · 792 citations

    6

    h-index

  2. ZS
    Zhengchang Su

    University of North Carolina at Charlotte, United States

    5 publications · 316 citations

    5

    h-index

  3. SC
    Sarath Chandra Janga

    Indiana University – Purdue University Indianapolis, United States

    5 publications · 147 citations

    5

    h-index

  4. MS
    Mikhail S. Gelfand

    Institute for Information Transmission Problems, Russia

    4 publications · 469 citations

    4

    h-index

  5. GM
    Gabriel Moreno‐Hagelsieb

    Wilfrid Laurier University, Canada

    4 publications · 706 citations

    4

    h-index

1–5 of 440

Venues

  1. Nucleic Acids Research

    36 publications · 4.2K citations

    31

    h-index

  2. Bioinformatics

    11 publications · 1.5K citations

    11

    h-index

  3. BMC Bioinformatics

    6 publications · 152 citations

    6

    h-index

  4. Journal of Bacteriology

    JB · 5 publications · 609 citations

    5

    h-index

  5. BMC Genomics

    4 publications · 139 citations

    4

    h-index

1–5