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Associate ProfessorOffice: G561Phone: (601) 815-8130E-mail: firstname.lastname@example.org
Dr. Hao Mei is a statistical geneticist and genetic epidemiologist with multidisciplinary training in medicine, computer science, bioinformatics and statistics, and broad expertise in key research areas of cardiovascular disease risk factors. In his previous work, he developed several methods and software packages for detecting family-based association, high-dimensional gene-gene and gene-environment interaction, genetic pleiotropic effects, and cumulative genetic effects. Dr. Mei has performed genetic epidemiological studies in autism, obesity, and hypertension.
His attraction to genetics reflects a desire to study the developmental origins and genetic predisposition for common complex diseases and phenotypes. Dr. Mei's previous research experience in methods development and statistical genetic analysis makes him particularly well qualified to contribute to this exciting project.
The package integrates local genomic annotation databases based on NCBI dbSNP 138 and 142, Entrez Gene 105 and 106 and MSigDB V4.0, and provides genome-wide annotation for SNP, Gene and gene sets. It aims to support interpretation of genome-wide study (GWS) results and performing post-analysis. The package implements three categories of functions: 1) genomic mapping annotation for SNPs and genes, and function annotation for gene sets; 2) bidirectional mapping relationship between SNPs and genes, and between genes and gene sets; and 3) flexible gene effect measure by SNP association and function-related gene set/pathway identification by enrichment analysis. The auxiliary functions are also provided to facilitate annotation and analysis.
Instruction manual: snpGeneSets_V1.12.pdf
Package source: snpGeneSets_1.12.tar.gz
Windows binaries: snpGeneSets_1.12.zip
Old Version: snpGeneSets V1.01
Instruction manual: snpGeneSets_V1.10.pdf
Package source: snpGeneSets_1.10.tar.gz
Windows binaries: snpGeneSets_1.10.zip
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