Bioinformatics. 2011 May 19. [Epub ahead of print]
Bioinformatics Challenges for Personalized Medicine.
Fernald GH, Capriotti E, Daneshjou R, Karczewski KJ, Altman RB.
SourceBiomedical Informatics Training Program, Stanford University School of Medicine, Stanford, CA, USA.
Abstract
MOTIVATION: 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: 1) processing large-scale robust genomic data; 2) interpreting the functional effect and the impact of genomic variation; 3) integrating systems data to relate complex genetic interactions with phenotypes; and 4) translating these discoveries into medical practice.
CONTACT:
russ.altman@stanford.eduSUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
PMID:21596790[PubMed - as supplied by publisher]
Free Article
Bioinformatics Challenges for Personalized Medicin... [Bioinformatics. 2011] - PubMed resultfull-text:
http://bioinformatics.oxfordjournals.org/content/early/2011/05/19/bioinformatics.btr295.long
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