CGP1 - 315
Roswell Park Cancer Institute
Research Interests: Sensitive identification
of structure variation from next-generation sequencing data;
statistical inference and computational variants (isoforms, SNV,
SV) identification of RNASeq data; integrated study of genomic,
epigenetic and proteomic data.
Jianmin Wang, PhD, is a research assistant professor in the Department of Biostatistics at the University at Buffalo (UB). His primary interests are focused on the analysis of large-scale-omics data from cutting-edge biotechnologies using computational and statistical methods.
Wang has developed or is currently developing a number of methods and tools for computational analysis of next-generation data using statistical inference. He has also applied those methods into cancer genetic studies that revealed many novel findings (see publication list). Wang and his team are cooperating with different groups to work on new methodology and high-throughput data analysis.