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Jun Li, Ph.D.
Professor of Human GeneticsProfessor & Associate Chair for Research of Computational Medicine and BioinformaticsFaculty, Center for Statistical Genetics; Comprehensive Cancer CenterMember, Depression Center; Michigan Diabetes Research Center; Michigan Metabolomics & Obesity CenterCo-Director, Michigan Center for Single-Cell Genomic Data Analytics
5940A Buhl1241 E. Catherine St. SPC 5618Ann Arbor, MI 48109-5618junzli@med.umich.edu734-615-5754
Affiliations:
About the Lab
The Li lab studies the genetic and functional basis of complex human diseases using genomic approaches. Currently our NIH-supported projects include the analyses of spontaneous mutation patterns in the human genome (NIGMS R01), multi-omic studies of a genetic rat model of addiction behavior (NIDA U01) and a rat model of metabolic health (NIDDK R01). We are part of the MoTrPAC Consortium (U24 NIH Common Funds) which seeks to discover the molecular transducers of the health benefit of physical exercise. Dr. Li co-directs the Michigan Center for Single-Cell Genomic Data Analytics, which aims to build a strong computational infrastructure to support the rigorous use of single-cell genomic data. An overarching theme in the Li lab is the responsible use of complex data in transparent, reproducible, and community extendable research. We are constantly recruiting talented individuals with background in biostatistics and biomedical data science.
Selected Recent Publications
Christopher D. Green, Qianyi Ma, Gabriel L. Manske, Adrienne Niederriter Shami, Xianing Zheng, Simone Marini, Lindsay Moritz, Caleb Sultan, Stephen J. Gurczynski, Bethany B. Moore, Michelle D. Tallquist, Jun Z. Li*, Saher Sue Hammoud*: A comprehensive roadmap of murine spermatogenesis defined by single- cell RNA-seq. Development Cell S1534-5807(18): 30636-1, 2018. Link
Jedidiah Carlson, Adam Locke, Matthew Flickinger, Matthew Zawistowski, Shawn Levy, The BRIDGES Consortium, Richard Myers, Michael Boehnke, Hyun Min Kang, Laura Scott, Jun Z. Li*, Sebastian Zöllner*: Extremely rare variants reveal patterns of germline mutation rate heterogeneity in humans Nature Communications 9(1): 3753, 2018. Link
Selected Recent News
2018.12 MIDAS single-cell biology winter retreat
2018.10 Coverage of a new paper from our collaboration with the Rosenberg group. (STAT)
2018.10 New York Times coverage of the ideology of human genetic diversity
2018.08 Single-cell genomic data analytics symposium
2018.05 New book published, for which Jun and Shweta contributed a chapter
Copyright © 2019, Jun Li Lab
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