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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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The Integrative Human Microbiome Project

TL;DR: Over ten years, the Human Microbiome Project has provided resources for studying the microbiome and its relationship to disease; this Perspective summarizes the key achievements and findings of the project and its relation to the broader field.
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What is a gene, post-ENCODE? History and updated definition

TL;DR: This definition side-steps the complexities of regulation and transcription by removing the former altogether from the definition and arguing that final, functional gene products (rather than intermediate transcripts) should be used to group together entities associated with a single gene.
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Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics.

Alvaro N. Barbeira, +263 more
TL;DR: A mathematical expression is derived to compute PrediXcan results using summary data, and the effects of gene expression variation on human phenotypes in 44 GTEx tissues and >100 phenotypes are investigated.
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Patient-Specific Induced Pluripotent Stem Cells as a Model for Familial Dilated Cardiomyopathy

TL;DR: Human induced pluripotent stem cells generated from patients with familial dilated cardiomyopathy model cardiovascular disease could provide an important platform to investigate the specific disease mechanisms of DCM as well as other inherited cardiovascular disorders and for screening new drugs for cardiovascular disease.
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Protein analysis on a proteomic scale.

TL;DR: This work has shown that the generation of sets of clones that express a representative of each protein of a proteome in a useful format followed by the analysis of these sets on a genome-wide basis enables genetic, biochemical and cell biological technologies to be applied on a systematic level.