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Your search keyword '"Fernald, Guy Haskin"' showing total 2 results
Start Over Author "Fernald, Guy Haskin" Topic bioinformatics
2 results on '"Fernald, Guy Haskin"'

1. Bioinformatics challenges for personalized medicine.

Author

Fernald, Guy Haskin, Capriotti, Emidio, Daneshjou, Roxana, Karczewski, Konrad J., and Altman, Russ B.

Subjects
*BIOINFORMATICS, *PHENOTYPES, *GENOMES, *BIOCHEMICAL variation, *GENETICS, *MEDICAL practice
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: (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.Contact: russ.altman@stanford.eduSupplementary information: Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]

Published
2011
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2. Bioinformatics challenges for personalized medicine

Author

Guy Haskin Fernald, Russ B. Altman, Emidio Capriotti, Roxana Daneshjou, Konrad J. Karczewski, Fernald, Guy Haskin, Capriotti, Emidio, Daneshjou, Roxana, Karczewski, Konrad J., and Altman, Russ B.

Subjects
Statistics and Probability, Computer science, Genomic data, MEDLINE, Genome-wide association study, Review, Bioinformatics, Genome, Biochemistry, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, Computational Theory and Mathematic, Human Genome Project, Humans, Precision Medicine, Molecular Biology, 030304 developmental biology, Whole genome sequencing, 0303 health sciences, business.industry, Medicine (all), Medical practice, Computational Biology, Computer Science Applications1707 Computer Vision and Pattern Recognition, Precision medicine, Genome Analysis, 3. Good health, Computer Science Applications, Computational Mathematics, ComputingMethodologies_PATTERNRECOGNITION, Computational Theory and Mathematics, 030220 oncology & carcinogenesis, Computational Mathematic, Personalized medicine, business, Genome-Wide Association Study
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: (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. Contact: russ.altman@stanford.edu Supplementary information: Supplementary data are available at Bioinformatics online.

Published
2011

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