Transcript Sequence Motif Analysis

Transcript Sequence Motif Analysis is a computational method that identifies statistically significant, recurring nucleotide or amino acid patterns within transcript sequences to infer functional, structural, or regulatory elements distinct from general sequence alignment or annotation approaches.

7

Publications

1.5K

Citations

42

Authors

13

Institutions

Publications per year

2017–2026

3

Authors

42

  1. SB
    Stefania Bortoluzzi

    University of Padua, Italy

    1 publications · 25 citations

    1

    h-index

  2. PB
    Pierre Baldi

    University of California, Irvine, United States

    1 publications · 18 citations

    1

    h-index

  3. QC
    Qinghua Cui

    Peking University, China

    1 publications · 1.2K citations

    1

    h-index

  4. ZZ
    Ziding Zhang

    China Agricultural University, China

    1 publications · 1.2K citations

    1

    h-index

  5. SB
    Sudha Bhattacharya

    Jawaharlal Nehru University, India

    1 publications · 27 citations

    1

    h-index

1–5 of 42

Venues

  1. Nucleic Acids Research

    2 publications · 1.4K citations

    2

    h-index

  2. BMC Genomics

    2 publications · 46 citations

    2

    h-index

  3. Environmental Health Perspectives

    EHP · 1 publications · 95 citations

    1

    h-index

  4. Trends in Genetics

    TIG · 1 publications · 25 citations

    1

    h-index

  5. Bioinformatics

    1 publications · 18 citations

    1

    h-index

1–5