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Original article
SeqHBase: a big data toolset for family based sequencing data analysis

Authors

  • Min He Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA Biomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA Department of Computation and Informatics in Biology and Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA PubMed articlesGoogle scholar articles
  • Thomas N Person Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA PubMed articlesGoogle scholar articles
  • Scott J Hebbring Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA Department of Computation and Informatics in Biology and Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA PubMed articlesGoogle scholar articles
  • Ethan Heinzen College of Science and Engineering, University of Minnesota-Twin Cities, Minnesota, Minnesota, USA PubMed articlesGoogle scholar articles
  • Zhan Ye Biomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA PubMed articlesGoogle scholar articles
  • Steven J Schrodi Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA Department of Computation and Informatics in Biology and Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA PubMed articlesGoogle scholar articles
  • Elizabeth W McPherson Department of Medical Genetics Services, Marshfield Clinic, Marshfield, Wisconsin, USA PubMed articlesGoogle scholar articles
  • Simon M Lin The Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA PubMed articlesGoogle scholar articles
  • Peggy L Peissig Biomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA PubMed articlesGoogle scholar articles
  • Murray H Brilliant Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA Department of Computation and Informatics in Biology and Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA PubMed articlesGoogle scholar articles
  • Jason O'Rawe Cold Spring Harbor Laboratory, Stanley Institute for Cognitive Genomics, Cold Spring Harbor, New York, USA PubMed articlesGoogle scholar articles
  • Reid J Robison Utah Foundation for Biomedical Research, Provo, Utah, USA PubMed articlesGoogle scholar articles
  • Gholson J Lyon Cold Spring Harbor Laboratory, Stanley Institute for Cognitive Genomics, Cold Spring Harbor, New York, USA Utah Foundation for Biomedical Research, Provo, Utah, USA PubMed articlesGoogle scholar articles
  • Kai Wang Utah Foundation for Biomedical Research, Provo, Utah, USA Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, California, USA Department of Psychiatry, University of Southern California, Los Angeles, California, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr. Min He, Center for Human Genetics, Marshfield Clinic Research Foundation, 1000 N Oak Ave, Marshfield, WI 54449, USA; he.max{at}marshfieldclinic.org and Dr. Kai Wang, Zilkha Neurogenetic Institute, University of Southern California, 1501 San Pablo St, Los Angeles, CA 90089, USA; kaiwang@usc.edu
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Citation

He M, Person TN, Hebbring SJ, et al
SeqHBase: a big data toolset for family based sequencing data analysis
Journal of Medical Genetics 2015;52:282-288.

Publication history

  • Received November 18, 2014
  • Revised December 17, 2014
  • Accepted December 27, 2014
  • First published January 13, 2015.
Online issue publication 
March 16, 2015

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Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/