Jie Liu, PhD
Department of Computational Medicine & Bioinformatics
100 Washtenaw Avenue, Room 2035D Palmer Commons
Ann Arbor, MI 48109
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Qualifications
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Senior FellowUniversity of Washington, Genome Sciences, United States
2014 - 2018
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PhD in Computer ScienceUniversity of Wisconsin, Madison, United States
2014
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Master in StatisticsUniversity of Wisconsin, Madison, United States
2011
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Master in Computer ScienceUniversity of Wisconsin, Madison, United States
2009
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Master in Signal and Information ProcessingPeking University, Peking, China
2007
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Bachelor in Info. Management & Info. SystemsBeijing University of Posts and Telecom, Beijing, China
2004
Center Memberships
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Center MemberRogel Cancer Center
Research Overview
Dr. Liu’s research lab develops computational methods, tools, and resources for understanding the human genome and diseases such as diabetes. Recently, the methodology focuses are knowledge graphs and foundation models. We have developed a knowledge graph GenomicKB to accumulate human-readable knowledge about the human genome. We have extracted genomic knowledge from PubMed and developed another knowledge graph GLKB. We have also developed a genomic foundation model EPCOT which comprehensively predicts multiple genomic modalities. The lab currently participates in several NIH consortia, including 4DN, IGVF, HIRN, CFDE, and the recent PanKbase program. In particular, Dr. Liu co-leads the Machine Learning Focus Group at IGVF, co-leads the Data/Metadata Working Group at PanKbase, and leads the development of PanKgraph, the knowledge graph within the PanKbase system.
Links
Liu Lab
Recent Publications
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Tao Y, Feng F, Luo X, Reihsmann C, Hopkirk A, Saunders D, Brissova M, Parker S, Liu J. 2023 Apr 28;ReportCNTools: A computational toolbox for cellular neighborhood analysis from multiplexed images
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Liu J, Feng F. 2023 Apr 26;PresentationA generalizable framework to comprehensively predict epigenome, chromatin organization, and transcriptome
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Feng F, Tang F, Gao Y, Yang S, Li T, Zhu D, Yao Y, Huang Y, Liu J. 2023 May 15;Proceeding / Abstract / PosterGenomicKB: a knowledge graph for the human genome
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Feng F, Tang F, Gao Y, Zhu D, Li T, Yang S, Yao Y, Huang Y, Liu J. Nucleic Acids Research, 2023 Feb 23; 51 (D1): D950 - D956.Journal ArticleGenomicKB: a knowledge graph for the human genome
DOI:10.1093/nar/gkac957 -
Huang Y, Wang B, Liu J. PLoS Computational Biology, 2023 Feb 23; 18 (7):Journal ArticleNucleoMap: A computational tool for identifying nucleosomes in ultra-high resolution contact maps
DOI:10.1371/journal.pcbi.1010265 -
Liu J, Lin D, Yardlmcl GG, Noble WS. 2018 Jul 25;Proceeding / Abstract / PosterUnsupervised embedding of single-cell Hi-C data
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Liu J, Zhang C, Page D. Annals of Applied Statistics, 2016 Aug 1; 10 (3): 1699 - 1724.Journal ArticleMultiple Testing under Dependence via Graphical Models.
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Liu J, Page D, Peissig P, McCarty C, Onitilo AA, Trentham-Dietz A, Burnside E. AMIA Joint Summits on Translational Science, 2014 Apr 8; 2014:Proceeding / Abstract / PosterNew genetic variants improve personalized breast cancer diagnosis.
Featured News & Stories
A New Collaborative to Better Predict, Prevent, and Treat Type 1 Diabetes
Yiqun Wang, PhD candidate: Giving back to the biomedical field through research
Jie Liu, PhD, and Weichen (Arthur) Zhou, PhD, were recognized with a University of Michigan Endowment for Basic Sciences (EBS) award