Integrating Diverse Datasets Improves Developmental Enhancer Prediction

• Genevieve D. Erwin,

  Affiliations Gladstone Institute of Cardiovascular Disease, San Francisco, California, United States of America, Institute for Human Genetics, University of California San Francisco, San Francisco, California, United States of America

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• Nir Oksenberg,

  Affiliations Institute for Human Genetics, University of California San Francisco, San Francisco, California, United States of America, Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America

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• Rebecca M. Truty,

  Affiliation Gladstone Institute of Cardiovascular Disease, San Francisco, California, United States of America

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• Dennis Kostka,

  Affiliation Department of Developmental Biology and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America

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• Karl K. Murphy,

  Affiliations Institute for Human Genetics, University of California San Francisco, San Francisco, California, United States of America, Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America

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• Nadav Ahituv,

  Affiliations Institute for Human Genetics, University of California San Francisco, San Francisco, California, United States of America, Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America

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• Katherine S. Pollard ,

  * E-mail: kpollard@gladstone.ucsf.edu (KSP); tony.capra@vanderbilt.edu (JAC)

  Affiliations Gladstone Institute of Cardiovascular Disease, San Francisco, California, United States of America, Institute for Human Genetics, University of California San Francisco, San Francisco, California, United States of America, Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America

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• John A. Capra

  * E-mail: kpollard@gladstone.ucsf.edu (KSP); tony.capra@vanderbilt.edu (JAC)

  Affiliation Center for Human Genetics Research and Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, United States of America

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