Differential Epigenomic Analysis

Differential Epigenomic Analysis is a computational methodological framework that identifies and quantifies context-specific changes in epigenomic marks across biological conditions by comparing epigenomic profiles while accounting for technical and biological variability.

28

Publications

5.5K

Citations

269

Authors

112

Institutions

Publications per year

2017–2026

14

Authors

269

  1. JR
    Joseph R. Ecker

    Salk Institute for Biological Studies, United States

    4 publications · 3.4K citations

    4

    h-index

  2. ST
    Shushan Toneyan

    Cold Spring Harbor Laboratory, United States

    2 publications · 82 citations

    2

    h-index

  3. MS
    M Snyder

    Stanford University, United States

    2 publications · 499 citations

    2

    h-index

  4. ZT
    Ziqi Tang

    Cold Spring Harbor Laboratory, United States

    2 publications · 82 citations

    2

    h-index

  5. TS
    Tarjei S. Mikkelsen

    Broad Institute, United States

    2 publications · 2.1K citations

    2

    h-index

1–5 of 269

Venues

  1. Nature Biotechnology

    3 publications · 2.2K citations

    3

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 532 citations

    2

    h-index

  3. BMC Genomics

    2 publications · 75 citations

    2

    h-index

  4. Cell Metabolism

    1 publications · 203 citations

    1

    h-index

  5. Trends in Pharmacological Sciences

    1 publications · 18 citations

    1

    h-index

1–5