Histone Mark Combinatorial Analysis

Histone Mark Combinatorial Analysis is a computational method in chromatin state annotation that identifies and characterizes functional genomic elements by systematically integrating patterns of multiple histone post-translational modifications to infer chromatin regulatory states.

26

Publications

2K

Citations

179

Authors

79

Institutions

Publications per year

2017–2026

9

Authors

179

  1. MM
    Mayinuer Maitituoheti

    The University of Texas MD Anderson Cancer Center, United States

    2 publications · 46 citations

    2

    h-index

  2. CT
    Christopher Terranova

    The University of Texas MD Anderson Cancer Center, United States

    2 publications · 46 citations

    2

    h-index

  3. JE
    Jason Ernst

    University of California, Los Angeles, United States

    2 publications · 479 citations

    2

    h-index

  4. CR
    Chrystian Ruminowicz

    University of Copenhagen, Denmark

    2 publications · 133 citations

    2

    h-index

  5. SS
    Simone Sidoli

    Albert Einstein College of Medicine, United States

    2 publications · 133 citations

    2

    h-index

1–5 of 179

Venues

  1. PLoS ONE

    3 publications · 203 citations

    3

    h-index

  2. Journal of Visualized Experiments

    2 publications · 46 citations

    2

    h-index

  3. Genome biology

    2 publications · 209 citations

    2

    h-index

  4. Cell Reports

    1 publications · 100 citations

    1

    h-index

  5. PLoS Computational Biology

    1 publications · 36 citations

    1

    h-index

1–5