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A framework for summarizing chromatin state annotations within and identifying differential annotations across groups of samples
View ORCID ProfileHa Vu, Zane Koch, Petko Fiziev, Jason Ernst
doi: https://doi.org/10.1101/2022.05.08.491094
Ha Vu
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
Zane Koch
2Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA
Petko Fiziev
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
8Illumina Inc
Jason Ernst
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

- AF1_supp_materials[supplements/491094_file02.docx]
- AF2_metadata_sample[supplements/491094_file03.xlsx]
Posted May 08, 2022.
A framework for summarizing chromatin state annotations within and identifying differential annotations across groups of samples
Ha Vu, Zane Koch, Petko Fiziev, Jason Ernst
bioRxiv 2022.05.08.491094; doi: https://doi.org/10.1101/2022.05.08.491094
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