Ming Yi is currently the Manager of Functional Genomic Group of ABCC in SAIC-Frederick at Frederick National Lab for Cancer Research (originally NCI-Frederick) and leads the group effort for bioinformatics support with focus on NGS, microarray, and other high-throughput data analysis, and pathway analysis for NCI researchers. After joining ABCC in 2004, he developed WPS pathway analysis package, on top of which he added two novel pathway-level analysis schemes, SLEPR and PPEP. He has numerous publications on these pathway analysis modules and has contributed chapters on pathway analysis in several bioinformatics books including Statistics and Informatics in Molecular Cancer Research and Insertional Mutagenesis Strategies in Cancer Genetics. He was also involved in many other bioinformatics projects of ABCC including bioDBnet, ISRCE, and numerous collaborative data analysis projects with NCI researchers with many publications specifically on bioinformatics tools/databases or data analysis. His current research interest is leading the efforts to set up and evaluate NGS data analysis pipelines in ABCC especially on SNP discovery tools. He is also interested in SNP impact assessment, systems biology, and so on. Prior to ABCC, he worked as an Assistant Instructor and Computational Associate in Howard Hughes Medical Institute and McDermott Center at University of Texas Southwestern Medical Center (UTSWMC) at Dallas. He received his B.S. degree majoring in biochemistry from Peking University in 1990. In 1998, he received a Ph.D. degree in biochemistry and molecular biology from UTSWMC at Dallas. In 2001, he received his M.S. degree in computer science majoring in software engineering from University of Texas at Dallas.
Biography Updated on 22 January 2013