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
Parents
100
The NIH Roadmap Epigenomics Mapping Consortium
B Bernstein, J Stamatoyannopoulos, J Costello et al. · Nature Biotechnology · 2010 · 2K citations
Exploring Epigenomic Datasets by ChIPseeker
Qianwen Wang, Ming Li, Tianzhi Wu et al. · Current Protocols · 2022 · 442 citations
1–5 of 100
505
6
h-index
5
h-index
4
h-index
4
h-index
Canada's Michael Smith Genome Sciences Centre, Canada
3 publications · 105 citations
3
h-index
1–5 of 505
243
University of Washington
Seattle, United States
9 h-index
36 publications
4.2K citations
University College London
London, United Kingdom
6 h-index
11 publications
1.1K citations
Max Planck Institute for Informatics
Saarbrücken, Germany
6 h-index
22 publications
1.5K citations
Seattle University
Seattle, United States
5 h-index
17 publications
1.4K citations
University of California, San Francisco
San Francisco, United States
5 h-index
12 publications
2.8K citations

University of British Columbia
Vancouver, Canada
4 h-index
14 publications
454 citations
Shanghai Institutes for Biological Sciences
Shanghai, China
4 h-index
15 publications
1.2K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
13 publications
1.1K citations
1–8 of 243
17 publications · 1.5K citations
15
h-index
8 publications · 552 citations
8
h-index
Repository · 7 publications · 150 citations
7
h-index
7 publications · 379 citations
7
h-index
5 publications · 258 citations
5
h-index
1–5