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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Book ChapterDOI
Extrapolating traditional DNA microarray statistics to tiling and protein microarray technologies.
Thomas Royce,Joel Rozowsky,Nicholas M. Luscombe,Olof Emanuelsson,Haiyuan Yu,Xiaowei Zhu,Michael Snyder,Mark Gerstein +7 more
TL;DR: Some of the most widely used statistical techniques for normalizing and scoring traditional microarray data and indicate their potential utility for analyzing the newer protein and tiling microarray experiments are presented.
Journal ArticleDOI
Long-read assays shed new light on the transcriptome complexity of a viral pathogen.
Dóra Tombácz,István Prazsák,Zsolt Csabai,Norbert Moldován,Béla Dénes,Michael Snyder,Zsolt Boldogkői +6 more
TL;DR: This study applied LRS platforms from Pacific Biosciences and Oxford Nanopore Technologies to profile the vaccinia virus (VACV) transcriptome and revealed an extremely complex transcriptional landscape of this virus.
Journal ArticleDOI
Association of AHSG with alopecia and mental retardation (APMR) syndrome
M. Reza Sailani,Fereshteh Jahanbani,Jafar Nasiri,Mahdiyeh Behnam,Mansoor Salehi,Mansoor Salehi,Maryam Sedghi,Majid Hoseinzadeh,Shinichi Takahashi,Amin Zia,Joshua J. Gruber,Janet Linnea Lynch,Daniel D. Lam,Juliane Winkelmann,Semira Amirkiai,Baoxu Pang,Shannon Rego,Safoura Mazroui,Jonathan A. Bernstein,Michael Snyder +19 more
TL;DR: This study revealed a novel predicted pathogenic, homozygous missense mutation in the AHSG gene (AHSG: NM_001622:exon7:c.950G>A:p.Arg317His) that is predicted to affect a region of the protein required for protein processing and disrupts a phosphorylation motif.
Journal ArticleDOI
Distinct transcriptomic and exomic abnormalities within myelodysplastic syndrome marrow cells.
Hogune Im,Varsha Rao,Kunju Sridhar,Jason Bentley,Tejaswini Mishra,Rui Chen,Jeff Hall,Armin Graber,Yan Zhang,Xiao Li,George I. Mias,Michael Snyder,Peter L. Greenberg +12 more
TL;DR: A combination of clinical, transcriptomic and exomic findings provides valuable understanding of mechanisms underlying MDS and its progression to a more aggressive stage and also facilitates prognostic characterization of MDS patients.
Journal ArticleDOI
Positional artifacts in microarrays: experimental verification and construction of COP, an automated detection tool
Haiyuan Yu,Katherine T. Nguyen,Thomas Royce,Jiang Qian,Kenneth Nelson,Michael Snyder,Mark Gerstein +6 more
TL;DR: An automated web tool is developed—COP (COrrelations by Positional artifacts) to detect these artifacts in microarray experiments, which find that genes that are close on the microarray chips tend to have higher correlations between their expression profiles.