Splicing Quantification

Splicing Quantification is a computational method that quantifies the relative abundance of alternatively spliced transcript isoforms from high-throughput RNA sequencing data, distinguishing itself by specifically measuring splicing variation rather than overall gene expression.

231

Publications

21.9K

Citations

1.2K

Authors

464

Institutions

Publications per year

2017–2026

81

Authors

1.2K

  1. YB
    Yoseph Barash

    University of Pennsylvania, United States

    8 publications · 865 citations

    8

    h-index

  2. NF
    Nicholas F. Lahens

    University of Pennsylvania, United States

    6 publications · 1K citations

    6

    h-index

  3. BJ
    Benjamin J. Blencowe

    University of Toronto, Canada

    6 publications · 1.3K citations

    6

    h-index

  4. GR
    Gregory R. Grant

    University of Pennsylvania, United States

    5 publications · 460 citations

    5

    h-index

  5. KH
    Kevin Ha

    University of Toronto, Canada

    4 publications · 950 citations

    4

    h-index

1–5 of 1.2K

Venues

  1. Nucleic Acids Research

    20 publications · 1.7K citations

    18

    h-index

  2. Bioinformatics

    19 publications · 1K citations

    17

    h-index

  3. BMC Bioinformatics

    13 publications · 597 citations

    13

    h-index

  4. Genome biology

    10 publications · 1.8K citations

    10

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 568 citations

    8

    h-index

1–5