Transcript Structure Prediction

Transcript Structure Prediction is a computational method that identifies and characterizes the structural organization of transcripts, including exon-intron boundaries, splice variants, and untranslated regions, by distinguishing primary sequence signals from genomic and transcriptomic data to infer biologically accurate transcript architectures.

50

Publications

8.1K

Citations

279

Authors

115

Institutions

Publications per year

2017–2026

9

Authors

279

  1. FP
    Frederick P. Roth

    Harvard University, United States

    2 publications · 32 citations

    2

    h-index

  2. YL
    Yang Li

    University of Chicago, United States

    2 publications · 2.9K citations

    2

    h-index

  3. MS
    Mikhail S. Gelfand

    Institute for Information Transmission Problems, Russia

    2 publications · 66 citations

    2

    h-index

  4. SS
    Samuel S. Gross

    Washington University in St. Louis, United States

    2 publications · 142 citations

    2

    h-index

  5. MS
    M Snyder

    Stanford University, United States

    2 publications · 196 citations

    2

    h-index

1–5 of 279

Venues

  1. Genome Research

    GR · 7 publications · 3.4K citations

    7

    h-index

  2. Nucleic Acids Research

    7 publications · 477 citations

    7

    h-index

  3. BMC Bioinformatics

    4 publications · 95 citations

    4

    h-index

  4. Genome biology

    4 publications · 190 citations

    4

    h-index

  5. Journal of Computational Biology

    2 publications · 27 citations

    2

    h-index

1–5