Epigenomic Analysis

Epigenomic Analysis is a computational methodology that systematically characterizes genome-wide epigenetic modifications—such as DNA methylation, histone modifications, and chromatin accessibility—to infer regulatory mechanisms governing gene expression without altering the underlying DNA sequence.

633

Publications

70.2K

Citations

5.8K

Authors

1.4K

Institutions

Publications per year

2017–2026

353

Authors

5.8K

  1. JR
    Joseph R. Ecker

    Salk Institute for Biological Studies, United States

    14 publications · 17K citations

    13

    h-index

  2. TW
    Ting Wang

    Washington University in St. Louis, United States

    9 publications · 8.4K citations

    10

    h-index

  3. MK
    Manolis Kellis

    Broad Institute, United States

    8 publications · 3.8K citations

    9

    h-index

  4. BR
    Bing Ren

    University of California San Diego, United States

    10 publications · 14.5K citations

    9

    h-index

  5. JR
    Joseph R. Nery

    Salk Institute for Biological Studies, United States

    8 publications · 6.3K citations

    8

    h-index

1–5 of 5.8K

Venues

  1. Nature Communications

    25 publications · 2K citations

    23

    h-index

  2. Nucleic Acids Research

    29 publications · 2.7K citations

    23

    h-index

  3. Cell Reports

    16 publications · 1.6K citations

    17

    h-index

  4. Genome biology

    18 publications · 1.5K citations

    17

    h-index

  5. Bioinformatics

    25 publications · 7K citations

    17

    h-index

1–5