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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The cuticle genes of Drosophila: A developmentally regulated gene cluster
TL;DR: The cuticle genes encoded by the segment at 44D are members of a family of genes of common ancestry, which share the same pattern of developmental expression and reside in a small segment of the Drosophila genome.
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A small reservoir of disabled ORFs in the yeast genome and its implications for the dynamics of proteome evolution.
TL;DR: The characteristics of the dORF population suggest the sorts of genes that are likely to fall in and out of usage (and vary in copy number) in a strain-specific way and highlight the role of subtelomeric regions in engendering this diversity.
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Tcf7 is an important regulator of the switch of self-renewal and differentiation in a multipotential hematopoietic cell line.
Jia Qian Wu,Montrell Seay,Vincent P. Schulz,Manoj Hariharan,David Tuck,Jin Lian,Jiang Du,Minyi Shi,Zhijia Ye,Mark Gerstein,Michael Snyder,Sherman M. Weissman +11 more
TL;DR: Fundamental cell-intrinsic properties of the switch between self-renewal and differentiation, and valuable insights for manipulating HSCs and other differentiating systems are demonstrated.
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Glucose induces cAMP-independent growth-related changes in stationary-phase cells of Saccharomyces cerevisiae.
David Granot,Michael Snyder +1 more
TL;DR: It is suggested that glucose triggers events in the induction of a new mitotic cell cycle and that these events are either prior to the adenylate cyclase pathway or are in an alternative pathway.
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Synthetic long-read sequencing reveals intraspecies diversity in the human microbiome
Volodymyr Kuleshov,Chao Jiang,Wenyu Zhou,Fereshteh Jahanbani,Serafim Batzoglou,Michael Snyder +5 more
TL;DR: This work presents an analysis of a human gut microbiome using TruSeq synthetic long reads combined with computational tools for metagenomic long-read assembly, variant calling and haplotyping (Nanoscope and Lens), identifying 178 bacterial species.