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
High-throughput methods for the large-scale analysis of gene function by transposon tagging.
TL;DR: F multifunctional transposon-based mutagenesis systems for the large-scale accumulation of expression, phenotypic, and localization data have been developed and offer the potential to determine gene functions associated with essential genes—a target population previously refractory to large- scale study.
Journal ArticleDOI
Arabidopsis protein microarrays for the high-throughput identification of protein-protein interactions.
TL;DR: This study demonstrated that Arabidopsis functional protein microarrays can be generated and employed to characterize the function of plant proteins and provided new testable hypotheses in the area of CaM/Ca2+-regulated processes.
Journal ArticleDOI
Genome assembly from synthetic long read clouds
TL;DR: Unlike previous assembly strategies, Architect does not require a costly subassembly step; instead it assembles genomes directly from the SLR’s underlying short reads, which it refers to as read clouds, which enables a 4- to 20-fold reduction in sequencing requirements and a 5-fold increase in assembly contiguity.
Journal ArticleDOI
Coherent functional modules improve transcription factor target identification, cooperativity prediction, and disease association.
TL;DR: An improved mapping of targets is created by integrating ChIP-Seq data with 423 functional modules derived from 9,395 human expression experiments, which identified 5,002 TF-module relationships, significantly improved TF target prediction, and found 30 high-confidence TF-TF associations.
Journal ArticleDOI
Integrated analysis of experimental data sets reveals many novel promoters in 1% of the human genome
Nathan D. Trinklein,Ulas Karaoz,Jia Qian Wu,Anason S. Halees,Shelley Force Aldred,Patrick J. Collins,Deyou Zheng,Zhengdong D. Zhang,Mark Gerstein,Michael Snyder,Richard M. Myers,Zhiping Weng +11 more
TL;DR: The authors' results suggest that there are at least 35% more functional promoters in the human genome than currently annotated, and that some of them might regulate anti-sense transcription.