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Analysis and prediction of super-enhancers using sequence and chromatin signatures
View ORCID ProfileAziz Khan, Xuegong Zhang
doi: https://doi.org/10.1101/105262
Aziz Khan
1MOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic and Systems Biology, TNLIST/Department of Automation, Tsinghua University, Beijing, 100084, China
2Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, 0349 Oslo, Norway
Xuegong Zhang
1MOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic and Systems Biology, TNLIST/Department of Automation, Tsinghua University, Beijing, 100084, China
3School of Life Sciences, Tsinghua University, Beijing, 100084, China
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Posted February 02, 2017.
Analysis and prediction of super-enhancers using sequence and chromatin signatures
Aziz Khan, Xuegong Zhang
bioRxiv 105262; doi: https://doi.org/10.1101/105262
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