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Inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data
Qian Qin, Jingyu Fan, Rongbin Zheng, Changxin Wan, Shenglin Mei, Qiu Wu, Hanfei Sun, Jing Zhang, Myles Brown, Clifford A. Meyer, X. Shirley Liu
doi: https://doi.org/10.1101/846139
Qian Qin
1Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
2Children’s hospital of Fudan University, Center of Molecular Medicine, Shanghai 201102, China
Jingyu Fan
1Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
Rongbin Zheng
1Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
Changxin Wan
1Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
Shenglin Mei
1Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
Qiu Wu
1Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
Hanfei Sun
1Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
Jing Zhang
3School of Life Science and Technology, Tongji University, Shanghai 200065, China
4Stem Cell Translational Research Center, Tongji Hospital, School of Life Science and Technology, Tongji University, Shanghai 200065, China
Myles Brown
5Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
6Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02215, USA
Clifford A. Meyer
5Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
7Department of Data Sciences, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02215, USA
X. Shirley Liu
1Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
5Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
7Department of Data Sciences, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02215, USA
Posted November 18, 2019.
Inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data
Qian Qin, Jingyu Fan, Rongbin Zheng, Changxin Wan, Shenglin Mei, Qiu Wu, Hanfei Sun, Jing Zhang, Myles Brown, Clifford A. Meyer, X. Shirley Liu
bioRxiv 846139; doi: https://doi.org/10.1101/846139
Inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data
Qian Qin, Jingyu Fan, Rongbin Zheng, Changxin Wan, Shenglin Mei, Qiu Wu, Hanfei Sun, Jing Zhang, Myles Brown, Clifford A. Meyer, X. Shirley Liu
bioRxiv 846139; doi: https://doi.org/10.1101/846139
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