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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

Jun Li Lab, 2018 Fall


Department of Human Genetics
Department of Computational Medicine and Bioinformatics

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

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