M Snyder

ORCID: 0000-0003-0784-7987
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About
Contact & Profiles
Research Areas
  • Genomics and Chromatin Dynamics
  • Fungal and yeast genetics research
  • RNA Research and Splicing
  • RNA and protein synthesis mechanisms
  • Bioinformatics and Genomic Networks
  • Gene expression and cancer classification
  • RNA modifications and cancer
  • Genomics and Phylogenetic Studies
  • Epigenetics and DNA Methylation
  • Cancer Genomics and Diagnostics
  • Monoclonal and Polyclonal Antibodies Research
  • Metabolomics and Mass Spectrometry Studies
  • Advanced Proteomics Techniques and Applications
  • Single-cell and spatial transcriptomics
  • CRISPR and Genetic Engineering
  • Genetic Associations and Epidemiology
  • Genomics and Rare Diseases
  • Advanced Biosensing Techniques and Applications
  • Advanced Radiotherapy Techniques
  • Chromosomal and Genetic Variations
  • Gut microbiota and health
  • Genomic variations and chromosomal abnormalities
  • Immunotherapy and Immune Responses
  • Health, Environment, Cognitive Aging
  • Cancer-related molecular mechanisms research

Stanford University
2016-2025

Stanford Medicine
2016-2025

Palo Alto University
2015-2025

Menlo School
2013-2025

Mayo Clinic in Florida
2016-2025

University Hospitals of Cleveland
2025

University School
2025

Case Western Reserve University
2025

Cardiovascular Institute of the South
2015-2024

MIT Lincoln Laboratory
2020-2024

Ewan Birney J Stamatoyannopoulos Anindya Dutta Roderic Guigó T Gingeras and 95 more Elliott H. Margulies Zhiping Weng M Snyder Emmanouil T. Dermitzakis Robert E. Thurman Michael S. Kuehn Christopher M. Taylor Shane Neph Christof Koch Saurabh Asthana Ankit Malhotra Ivan Adzhubei Jason Greenbaum Robert Andrews Paul Flicek Patrick J. Boyle Hua Cao N. P. Carter Gayle K. Clelland Sean Davis Nathan Day Pawandeep Dhami Shane C. Dillon Michael O. Dorschner Heike Fiegler Paul G. Giresi Jeff Goldy Michael Hawrylycz Andrew Haydock Richard Humbert Keith D. James Brett Johnson Ericka M. Johnson Tristan Frum Elizabeth Rosenzweig Neerja Karnani Kirsten Lee Grégory Lefebvre Patrick A. Navas Fidencio Neri Stephen C. J. Parker Peter J. Sabo Richard Sandstrom Anthony Shafer David Vetrie Molly Weaver Sarah Wilcox Man Yu Francis S. Collins Job Dekker Jason D. Lieb Thomas D. Tullius Gregory E. Crawford Shamil Sunyaev William Stafford Noble Ian Dunham Alexandre Reymond Philipp Kapranov Joel Rozowsky Deyou Zheng Robert Castelo Adam Frankish Jennifer Harrow Srinka Ghosh Albin Sandelin Ivo L. Hofacker Robert Baertsch Damian Keefe Sujit Dike Jill Cheng Heather A. Hirsch Edward A. Sekinger Julien Lagarde Josep F. Abril Atif Shahab Christoph Flamm Claudia Fried Jörg Hackermüller Jana Hertel Manja Lindemeyer Kristin Missal Andrea Tanzer Stefan Washietl Jan O. Korbel Olof Emanuelsson Jakob Skou Pedersen Nancy Holroyd Ruth Taylor David Swarbreck Nicholas Matthews Mark Dickson Daryl J. Thomas Matthew T. Weirauch James Gilbert Jörg Drenkow

10.1038/nature05874 article EN Nature 2007-06-01

The functions of many open reading frames (ORFs) identified in genome-sequencing projects are unknown. New, whole-genome approaches required to systematically determine their function. A total 6925 Saccharomyces cerevisiae strains were constructed, by a high-throughput strategy, each with precise deletion one 2026 ORFs (more than one-third the genome). Of deleted ORFs, 17 percent essential for viability rich medium. phenotypes more 500 assayed parallel. strains, 40 showed quantitative growth...

10.1126/science.285.5429.901 article EN Science 1999-08-06

As the sequencing of healthy and disease genomes becomes more commonplace, detailed annotation provides interpretation for individual variation responsible normal phenotypes. Current approaches focus on direct changes in protein coding genes, particularly nonsynonymous mutations that directly affect gene product. However, most occurs outside genes and, indeed, markers generated from genome-wide association studies (GWAS) identify variants segments. Identification potential regulatory perturb...

10.1101/gr.137323.112 article EN cc-by-nc Genome Research 2012-09-01

The identification of untranslated regions, introns, and coding regions within an organism remains challenging. We developed a quantitative sequencing-based method called RNA-Seq for mapping transcribed in which complementary DNA fragments are subjected to high-throughput sequencing mapped the genome. applied generate high-resolution transcriptome map yeast genome demonstrated that most (74.5%) nonrepetitive sequence is transcribed. confirmed many known predicted introns others not actively...

10.1126/science.1158441 article EN Science 2008-05-04

Chromatin immunoprecipitation (ChIP) followed by high-throughput DNA sequencing (ChIP-seq) has become a valuable and widely used approach for mapping the genomic location of transcription-factor binding histone modifications in living cells. Despite its widespread use, there are considerable differences how these experiments conducted, results scored evaluated quality, data metadata archived public use. These practices affect quality utility any global ChIP experiment. Through our experience...

10.1101/gr.136184.111 article EN cc-by-nc Genome Research 2012-09-01

To facilitate studies of the yeast proteome, we cloned 5800 open reading frames and overexpressed purified their corresponding proteins. The proteins were printed onto slides at high spatial density to form a proteome microarray screened for ability interact with phospholipids. We identified many new calmodulin- phospholipid-interacting proteins; common potential binding motif was calmodulin-binding Thus, microarrays an entire eukaryotic can be prepared diverse biochemical activities. also...

10.1126/science.1062191 article EN Science 2001-09-14

Copy number variation (CNV) in the genome is a complex phenomenon, and not completely understood. We have developed method, CNVnator, for CNV discovery genotyping from read-depth (RD) analysis of personal sequencing. Our method based on combining established mean-shift approach with additional refinements (multiple-bandwidth partitioning GC correction) to broaden range discovered CNVs. calibrated CNVnator using extensive validation performed by 1000 Genomes Project. Because this, we could...

10.1101/gr.114876.110 article EN cc-by-nc Genome Research 2011-02-07

Transcription factors bind in a combinatorial fashion to specify the on-and-off states of genes; ensemble these binding events forms regulatory network, constituting wiring diagram for cell. To examine principles human transcriptional we determined genomic information 119 transcription-related over 450 distinct experiments. We found combinatorial, co-association transcription be highly context specific: combinations at specific locations. In particular, there are significant differences...

10.1038/nature11245 article EN cc-by-nc-sa Nature 2012-09-01

Current yeast interactome network maps contain several hundred molecular complexes with limited and somewhat controversial representation of direct binary interactions. We carried out a comparative quality assessment current data sets, demonstrating that high-throughput two-hybrid (Y2H) screening provides high-quality interaction information. Because large fraction the remains to be mapped, we developed an empirically controlled mapping framework produce “second-generation” high-quality, Y2H...

10.1126/science.1158684 article EN Science 2008-08-22

We have developed an approach using Bayesian networks to predict protein-protein interactions genome-wide in yeast. Our method naturally weights and combines into reliable predictions genomic features only weakly associated with interaction (e.g., messenger RNAcoexpression, coessentiality, colocalization). In addition de novo predictions, it can integrate often noisy, experimental data sets. observe that at given levels of sensitivity, our are more accurate than the existing high-throughput...

10.1126/science.1087361 article EN Science 2003-10-16

Structural variation of the genome involves kilobase- to megabase-sized deletions, duplications, insertions, inversions, and complex combinations rearrangements. We introduce high-throughput massive paired-end mapping (PEM), a large-scale genome-sequencing method identify structural variants (SVs) approximately 3 kilobases (kb) or larger that combines rescue capture paired ends 3-kb fragments, 454 sequencing, computational approach map DNA reads onto reference genome. PEM was used SVs in an...

10.1126/science.1149504 article EN Science 2007-09-28

Elucidating the transcribed regions of genome constitutes a fundamental aspect human biology, yet this remains an outstanding problem. To comprehensively identify coding sequences, we constructed series high-density oligonucleotide tiling arrays representing sense and antisense strands entire nonrepetitive sequence genome. Transcribed sequences were located across via hybridization to complementary DNA samples, reverse-transcribed from polyadenylated RNA obtained liver tissue. In addition...

10.1126/science.1103388 article EN Science 2004-11-12
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