Computational Epigenomic Analysis

Computational Epigenomic Analysis is a systematic methodological framework that integrates computational algorithms and statistical models to interpret, annotate, and infer epigenomic features and their regulatory dynamics from high-throughput epigenetic data.

100

Publications

8.1K

Citations

505

Authors

243

Institutions

Publications per year

2017–2026

66

Authors

505

  1. WS
    William Stafford Noble

    University of Washington, United States

    6 publications · 366 citations

    6

    h-index

  2. AE
    Andrew E. Teschendorff

    University College London, United Kingdom

    5 publications · 488 citations

    5

    h-index

  3. JA
    Jeffrey A. Bilmes

    University of Washington, United States

    4 publications · 221 citations

    4

    h-index

  4. JS
    Jacob Schreiber

    University of Washington, United States

    4 publications · 221 citations

    4

    h-index

  5. SJ
    Steven J.M. Jones

    Canada's Michael Smith Genome Sciences Centre, Canada

    3 publications · 105 citations

    3

    h-index

1–5 of 505

Venues

  1. Bioinformatics

    17 publications · 1.5K citations

    15

    h-index

  2. Genome biology

    8 publications · 552 citations

    8

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 7 publications · 150 citations

    7

    h-index

  4. Nature Communications

    7 publications · 379 citations

    7

    h-index

  5. BMC Bioinformatics

    5 publications · 258 citations

    5

    h-index

1–5