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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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Proceedings Article

YMD: a microarray database for large-scale gene expression analysis.

TL;DR: The Yale Microarray Database (YMD) is a robust database system that allows efficient data storage, retrieval, secure access, data dissemination, and integrated data analyses for microarray researchers at Yale and their collaborators.
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Haplotype structure and positive selection at TLR1

TL;DR: Interestingly, 602Ser, which shows signatures of selection, inhibits TLR1 surface trafficking and subsequent activation of NFκB upon recognition of a ligand, suggesting that reducedTLR1 activity may be beneficial for human health.
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High Throughput Sequencing and Assessing Disease Risk

TL;DR: High-throughput sequencing has dramatically improved the ability to determine and diagnose the underlying causes of human disease and will likely continue to influence this area of disease research as more and more individuals undergo sequencing and the authors better understand the significance of variation across the genome.
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Disruption of mesoderm formation during cardiac differentiation due to developmental exposure to 13-cis-retinoic acid

TL;DR: The molecular mechanisms underlying INN-induced perturbation during mesodermal differentiation in the context of cardiac development are identified and the utility of human stem cells is highlighted as an alternative system for investigating congenital diseases of newborns that arise as a result of maternal drug exposure during pregnancy.
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Toward More Transparent and Reproducible Omics Studies Through a Common Metadata Checklist and Data Publications.

Eugene Kolker, +68 more
TL;DR: The proposed omics metadata checklist will serve as a common denominator to guide experimental design, capture important parameters, and be used as a standard format for stand-alone data publications and allow for appropriate attribution to data generators and infrastructure science builders in the post-genomics era.