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Ji-Ping Wang

Department Chair; Professor of Statistics, Adjunct Professor of Molecular BioSciences, Faculty member of NSF-Simons Center for Quantitative Biology

Ph.D., 2003, Pennsylvania State University

Research Interests

My research interests are in the statistical applications in biology and medical sciences. My recent work concerns developing statistical methods and tools for large-scale, high-dimensional genomic, genetic and human brain mapping data. Some working topics include species number estimation, nucleosome positioning mapping, next-generation sequencing analysis, RNA-seq normalization, Ribo-seq pattern differentiation, fMRI data in human brain mapping and etc. My lab has developed a few software tools that have been frequently used by researchers, including NuPoP (for nucleosome positioning prediction, bioconductor), DegNorm (for degradation normalization for RNA-seq, bioconductor), RiboDiPA (for differential pattern analysis for Ribo-seq data, GitHub ) and SPECIES (for species number estimation,  CRAN).

Recent Publications

Estimating the species richness by a Poisson-compound Gamma model, Biometrika, 2010, 97(3): 727-740

A base pair resolution map of nucleosome positions in yeast (with Brogaard, Xi and Widom), Nature, 2012, 486: 496–501

A locally convoluted cluster model for nucleosome positioning signals in chemical map (with Xi et al), Journal of American Statistical Association, 2014, 109(505) 48-62

Insights into Nucleosome Organization in Mouse Embryonic Stem Cells through Chemical Mapping (with Voong et al), Cell, 2016, 167(6),1555-1570.e15, highlighted in Nature Reviews Molecular Cell Biology

DegNorm: normalization of generalized transcript degradation improves accuracy in RNA-seq analysis (with Xiong et al), Genome Biology, 2019, 20:75

 
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