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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Posted ContentDOI
A Common Class of Transcripts with 5'-Intron Depletion, Distinct Early Coding Sequence Features, and N1-Methyladenosine Modification
Can Cenik,Hon Nian Chua,Guramrit Singh,Abdalla Akef,Michael Snyder,Alexander F. Palazzo,Melissa J. Moore,Frederick P. Roth +7 more
TL;DR: A classifier is developed that can predict 5’UTR intron status with >80% accuracy using only sequence features in the early coding region, and analyses point to the existence of a distinct 5IM class comprising ∼20% of human transcripts.
Journal ArticleDOI
Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries
Camilo Espinosa,Waqasuddin Khan,Rasheda Khanam,Sayan Das,Javairia Khalid,Jesmin Pervin,Margaret P Kasaro,Kévin Contrepois,Alan L. Chang,Thanaphong Phongpreecha,Basil Michael,Mathew Ellenberger,Usma Mehmood,Aneeta Hotwani,Ambreen Nizar,Furqan Kabir,Ronald J. Wong,Martin Becker,Eloiise Berson,Anthony Culos,Davide De Francesco,Samson Mataraso,Neal G Ravindra,Melan Thuraiappah,Maria Xenochristou,Ina A. Stelzer,Ivana Maric,Arup Dutta,Rubhana Raqib,Sala Uddin Ahmed,Sayed Wahidur Rahman,Azimi Hasan,Said M. Ali,Mohamed Hamad Juma,Monjur Rahman,Shaki Aktar,Saikat Deb,Joan T. Price,Paul H. Wise,Virginia D. Winn,Maurice L. Druzin,Ronald S. Gibbs,Gary L. Darmstadt,Jeffrey C. Murray,Jeffrey S. A. Stringer,Brice Gaudilliere,Michael Snyder,Martin S. Angst,Anisur Rahman,Abdullah H Baqui,Fyezah Jehan,Muhammad Imran Nisar,Bellington Vwalika,Sunil Sazawal,Gary M. Shaw,David K. Stevenson,Nima Aghaeepour +56 more
TL;DR: In this paper , the authors used multi-omic profiling and multivariate modeling to investigate the biological signatures of preterm birth (PTB) characteristics, including maternal age, time-to-delivery, gravidity and BMI.
Proceedings ArticleDOI
Design Issues in Implementing a Portable Sample Tracking and Analysis Research Support (STARS) System for PCR Based Microarray Research
Fred Sayward,Jennifer Yang,F. K. Nelson,Ghia Euskirchen,Alexander E. Urban,Paul Bertone,John L. Rinn,Sherman M. Weissman,Mark Gerstein,Michael Snyder,Perry L. Miller +10 more
TL;DR: The comprehensive Sample Tracking and Analysis Research Support (STARS) System described herein had to be portable since there are many projects at Yale and elsewhere that require automated microarray sample tracking and also tracks the biological experiments performed with the resulting microarrays.
Journal ArticleDOI
Clinical Factors Associated with Long-Term Survival in Metastatic Melanoma Treated with Anti-PD1 Alone or in Combination with Ipilimumab
Siddhartha Goutam,Igor Stukalin,Benjamin W. Ewanchuk,Michael Snyder,Philip Ding,Daniel E. Meyers,Daniel Y.C. Heng,Winson Y. Cheung,Tina Cheng +8 more
TL;DR: This study identifies four easily accessible predictors of long-term survival in a large real-world MM cohort treated with ICI that are easily accessible on univariable and multivariable analysis.
Posted ContentDOI
Multiomic identification of key transcriptional regulatory programs during endurance exercise training
Gregory A. Smith,Bingqing Zhao,Malene E. Lindholm,Archana Raja,Mark Viggars,Hanna Pincas,Nicole R. Gay,Yifei Sun,Yongchao Ge,Venugopalan D. Nair,James A. Sanford,Mary Anne S. Amper,Mital Vasoya,Kevin S. Smith,Stephen B. Montgomery,Elena Zaslavsky,Sue C. Bodine,Karyn A. Esser,Martin J. Walsh,Michael Snyder,Stuart C. Sealfon +20 more
TL;DR: In this paper , an integrated analysis of chromatin accessibility and RNA expression across various rat tissues following endurance exercise training (EET) was conducted to map epigenomic changes to transcriptional changes and determine key TFs involved.