Exon Junction Analysis

Exon Junction Analysis is a computational method in transcript sequence analysis that identifies and characterizes the boundaries between spliced exons in mRNA sequences to infer alternative splicing events and transcript isoforms.

117

Publications

12.9K

Citations

1.3K

Authors

226

Institutions

Publications per year

2017–2026

24

Authors

1.3K

  1. AN
    Abhinav Nellore

    Oregon Health & Science University, United States

    7 publications · 613 citations

    7

    h-index

  2. AE
    Andrew E. Jaffe

    Johns Hopkins University, United States

    6 publications · 550 citations

    6

    h-index

  3. BL
    Ben Langmead

    Johns Hopkins University, United States

    6 publications · 590 citations

    6

    h-index

  4. JT
    Jeffrey T. Leek

    Johns Hopkins University, United States

    5 publications · 515 citations

    5

    h-index

  5. LC
    Leonardo Collado‐Torres

    Lieber Institute for Brain Development, United States

    5 publications · 515 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. Nucleic Acids Research

    11 publications · 4.3K citations

    11

    h-index

  2. Bioinformatics

    10 publications · 519 citations

    10

    h-index

  3. BMC Genomics

    5 publications · 148 citations

    5

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 5 publications · 144 citations

    5

    h-index

  5. PLoS ONE

    5 publications · 261 citations

    5

    h-index

1–5