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- May 20, 2021.
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- Version 1 (January 27, 2021 - 03:01).
- You are viewing Version 2, the most recent version of this article.
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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-ND 4.0 International license.
Author Information
- Koen Van den Berge1,2,3,
- Hsin-Jung Chou4,+,
- Hector Roux de Bézieux5,6,
- Kelly Street7,8,
- Davide Risso9,
- John Ngai4,10,† and
- Sandrine Dudoit1,5,6,*
- 1Department of Statistics, University of California, Berkeley, CA, USA
- 2Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
- 3Bioinformatics Institute Ghent, Ghent University, Ghent, Belgium
- 4Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
- 5Division of Biostatistics, School of Public Health, University of California, Berkeley, CA, USA
- 6Center for Computational Biology, University of California, Berkeley, CA, USA
- 7Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- 8Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- 9Department of Statistical Sciences, University of Padova, Italy
- 10Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
- ↵*To whom correspondence should be addressed: sandrine{at}stat.berkeley.edu
Posted May 20, 2021.
Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects
