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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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Cloud-based interactive analytics for terabytes of genomic variants data.

TL;DR: This work assesses a study population of 475 deeply sequenced human genomes for genomic call rate, genotype and allele frequency distribution, variant density across the genome, and pharmacogenomic information using a cloud-based columnar database built on Dremel.
Reference EntryDOI

Genome-wide transposon mutagenesis in yeast.

TL;DR: This unit provides comprehensive protocols for the use of insertional libraries generated by shuttle mutagenesis, and a method by which Cre/lox recombination may be used to reduce the transposon in yeast to a small insertion element encoding an epitope tag is described.
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Simultaneous RNA purification and size selection using on-chip isotachophoresis with an ionic spacer.

TL;DR: An on-chip method for the extraction of RNA within a specific size range from low-abundance samples using isotachophoresis with an ionic spacer and a sieving matrix to enable size-selection with a high yield of RNA in the target size range is presented.
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Metformin Improves Diabetic Bone Health by Re-Balancing Catabolism and Nitrogen Disposal.

TL;DR: The metabolic pathways modulated by metformin in bones are revealed which have broad implication in the understanding of bone remodeling under hyperglycemia and in finding therapeutic interventions in mammals.
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Metadata checklist for the integrated personal OMICS study: proteomics and metabolomics experiments.

TL;DR: The current letter to the editor is a data publication that provides the checklists for the metadata of the proteomics and metabolomics datasets of the integrative personal omics profiling study.