Repeat Motif Analysis

Repeat Motif Analysis is a computational method within bioinformatics that identifies and characterizes short, recurring nucleotide or amino acid sequence patterns in biological sequences to infer structural, functional, or evolutionary properties.

245

Publications

16.5K

Citations

1.2K

Authors

506

Institutions

Publications per year

2017–2026

31

Authors

1.2K

  1. KS
    K. Sekar

    Indian Institute of Science Bangalore, India

    3 publications · 60 citations

    3

    h-index

  2. AS
    Arthur S. Tatham

    University of Bristol, United Kingdom

    3 publications · 82 citations

    3

    h-index

  3. PR
    Peter R. Shewry

    Rothamsted Research, United Kingdom

    3 publications · 82 citations

    3

    h-index

  4. BC
    Broto Chakrabarty

    International Institute of Information Technology, Hyderabad, India

    2 publications · 47 citations

    2

    h-index

  5. NP
    Nita Parekh

    International Institute of Information Technology, Hyderabad, India

    2 publications · 47 citations

    2

    h-index

1–5 of 1.2K

Venues

  1. PLoS ONE

    9 publications · 338 citations

    9

    h-index

  2. Journal of Biological Chemistry

    JBC · 9 publications · 898 citations

    9

    h-index

  3. Nucleic Acids Research

    8 publications · 874 citations

    8

    h-index

  4. Scientific Reports

    7 publications · 153 citations

    7

    h-index

  5. Journal of Bacteriology

    JB · 7 publications · 209 citations

    7

    h-index

1–5