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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Journal ArticleDOI
A nonerythroid isoform of protein 4.1R interacts with the nuclear mitotic apparatus (NuMA) protein.
Subhendra N. Mattagajasingh,Shu-Ching Huang,Julia S. Hartenstein,Michael Snyder,Vincent T. Marchesi,Edward J. Benz +5 more
TL;DR: The results suggest that 4.1R could, possibly, play an important role in organizing the nuclear architecture, mitotic spindle, and spindle poles, but also could define a novel role for its 22–24-kD domain.
Journal ArticleDOI
Mango: a bias-correcting ChIA-PET analysis pipeline
TL;DR: Application of Mango to multiple available ChIA-PET datasets permitted the independent rediscovery of known trends in chromatin loops including enrichment of CTCF, RAD21, SMC3 and ZNF143 at the anchor regions of interactions and strong bias for convergent C TCF motifs.
Journal ArticleDOI
Polarized growth controls cell shape and bipolar bud site selection in Saccharomyces cerevisiae.
TL;DR: It is proposed that apical growth and repolarization at the site of cytokinesis are crucial for establishing spatial cues used by diploid yeast cells to position division planes and how the duration of polarized growth affects bipolar bud site selection is examined.
Journal ArticleDOI
Predicting essential genes in fungal genomes.
TL;DR: This work identifies 14 characteristic sequence features potentially associated with essentiality, such as localization signals, codon adaptation, GC content, and overall hydrophobicity, and trained a machine learning classifier capable of predicting essential genes in S. mikatae and verified a subset of the predictions with eight in vivo knockouts.
Book ChapterDOI
Lambda gt 11: gene isolation with antibody probes and other applications.
TL;DR: This chapter describes methods for the isolation of eukaryotic and prokaryotic genes by screening Escherichia coil expression libraries with antibody probes, using the bacteriophage expression vector λgt 11.