Integrative analysis of 111 reference human epigenomes

The reference human genome sequence set the stage for studies of genetic variation and its association with human disease, but epigenomic studies lack a similar reference. To address this need, the NIH Roadmap Epigenomics Consortium generated the largest collection so far of human epigenomes for pri...

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Main Authors: Kundaje, Anshul (Contributor), Meuleman, Wouter (Contributor), Ernst, Jason (Contributor), Yen, Angela (Contributor), Kheradpour, Pouya (Contributor), Zhang, Zhizhuo (Contributor), Wang, Jianrong (Contributor), Ward, Lucas D. (Contributor), Sarkar, Abhishek Kulshreshtha (Contributor), Quon, Gerald (Contributor), Eaton, Matthew Lucas (Contributor), Wu, Yi-Chieh (Contributor), Pfenning, Andreas R. (Contributor), Wang, Xinchen (Contributor), Claussnitzer, Melina (Contributor), Liu, Yaping (Contributor), Bansal, Mukul S. (Contributor), Kim, Ah Ram (Contributor), Cowper Sal-lari, Richard (Contributor), Sinnott-Armstrong, Nicholas A. (Contributor), Gjoneska, Elizabeta (Contributor), Tsai, Li-Huei (Contributor), Kellis, Manolis (Contributor), Feizi- Khankandi, Soheil (Author), Boyer, Laurie Ann (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Picower Institute for Learning and Memory (Contributor), Feizi-Khankandi, Soheil (Contributor), Boyer, Laurie (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2016-01-12T14:46:27Z.
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