Article Information
History
- May 8, 2022.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Author Information
- 1Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, 90095, USA
- 2Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA
- 3Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research at University of California, Los Angeles, Los Angeles, CA 90095, USA
- 4Computer Science Department, University of California, Los Angeles, Los Angeles, CA 90095, USA
- 5Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90095, USA
- 6Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
- 7Computational Medicine Department, University of California, Los Angeles, Los Angeles, CA 90095, USA
- 8Illumina Inc
- ↵*To whom correspondence should be addressed, jason.ernst{at}ucla.edu
Posted May 08, 2022.
A framework for summarizing chromatin state annotations within and identifying differential annotations across groups of samples
