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Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects
View ORCID ProfileKoen Van den Berge, Hsin-Jung Chou, View ORCID ProfileHector Roux de Bézieux, View ORCID ProfileKelly Street, View ORCID ProfileDavide Risso, View ORCID ProfileJohn Ngai, View ORCID ProfileSandrine Dudoit
doi: https://doi.org/10.1101/2021.01.26.428252
Koen Van den Berge
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
Hsin-Jung Chou
4Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
Hector Roux de Bézieux
5Division of Biostatistics, School of Public Health, University of California, Berkeley, CA, USA
6Center for Computational Biology, University of California, Berkeley, CA, USA
Kelly Street
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
Davide Risso
9Department of Statistical Sciences, University of Padova, Italy
John Ngai
4Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
10Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
Sandrine Dudoit
1Department of Statistics, 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

- Supplementary Material[supplements/428252_file02.pdf]
Posted May 20, 2021.
Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects
Koen Van den Berge, Hsin-Jung Chou, Hector Roux de Bézieux, Kelly Street, Davide Risso, John Ngai, Sandrine Dudoit
bioRxiv 2021.01.26.428252; doi: https://doi.org/10.1101/2021.01.26.428252
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