M
Michael Snyder
Researcher at Stanford University
Publications - 938
Citations - 150929
Michael Snyder is an academic researcher from Stanford University. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 169, co-authored 840 publications receiving 130225 citations. Previous affiliations of Michael Snyder include Wyss Institute for Biologically Inspired Engineering & Public Health Research Institute.
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Distinct genomic aberrations associated with ERG rearranged prostate cancer.
Francesca Demichelis,Sunita R. Setlur,Rameen Beroukhim,Rameen Beroukhim,Sven Perner,Jan O. Korbel,Christopher J. LaFargue,Dorothee Pflueger,Cara Pina,Matthias D. Hofer,Andrea Sboner,Maria A. Svensson,David S. Rickman,Alexander E. Urban,Michael Snyder,Matthew Meyerson,Matthew Meyerson,Charles Lee,Mark Gerstein,Rainer Kuefer,Mark A. Rubin +20 more
TL;DR: This study performs genome‐wide profiling of 49 primary prostate cancers and identifies 20 recurrent chromosomal copy number aberrations, mainly occurring as genomic losses, and demonstrates that high‐resolution tiling arrays can be used to pin‐point breakpoints leading to fusion events.
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Systematic identification of silencers in human cells.
Baoxu Pang,Michael Snyder +1 more
TL;DR: It is found that silencers are widely distributed and may function in a tissue-specific fashion and probably contributes substantially to the regulation of gene expression and human biology.
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Nuclear dot antigens may specify transcriptional domains in the nucleus.
TL;DR: It is suggested that nuclear dot antigens may participate in the activation of transcription of specific regions of the genome in yeast and primate cells.
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Systematic prediction and validation of breakpoints associated with copy-number variants in the human genome.
Jan O. Korbel,Alexander E. Urban,Fabian Grubert,Jiang Du,Thomas Royce,Peter Starr,Guoneng Zhong,Beverly S. Emanuel,Sherman M. Weissman,Michael Snyder,Mark Gerstein +10 more
TL;DR: An iterative, “active” approach to initially scoring with a preliminary model, performing targeted validations, retraining the model, and then rescoring, and a flexible parameterization system that intuitively collapses from a full model of 2,503 parameters to a core one of only 10 enable the study of CNV population frequencies.
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Systems biology: personalized medicine for the future?
Rui Chen,Michael Snyder +1 more
TL;DR: The efforts of systems biology in personalized medicine in the past 2 years are reviewed, and achievements and concerns are discussed, as well as highlights and hurdles for future personalized health care.