title: Bioinformatics challenges for personalized medicine.
abstract: BACKGROUND
  Widespread availability of low-cost, full genome sequencing will introduce new challenges for bioinformatics.
  
  
  RESULTS
  This review outlines recent developments in sequencing technologies and genome analysis methods for application in personalized medicine. New methods are needed in four areas to realize the potential of personalized medicine: (i) processing large-scale robust genomic data; (ii) interpreting the functional effect and the impact of genomic variation; (iii) integrating systems data to relate complex genetic interactions with phenotypes; and (iv) translating these discoveries into medical practice.
  
  
  BACKGROUND
  russ.altman@stanford.edu
authors: Biomedical Informatics Training Program, Stanford University School of Medicine, Department of Bioengineering, Stanford University, Stanford, CA, USA.
authors: Guy Haskin
authors: GH
authors: Fernald
authors: Emidio
authors: E
authors: Capriotti
authors: Roxana
authors: R
authors: Daneshjou
authors: Konrad J
authors: KJ
authors: Karczewski
authors: Russ B
authors: RB
authors: Altman
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