The objective of the Computational Genomics Core is to provide the software and hardware support for computing activities related to genetics, as well as statistical analysis for human genetics data generated from both microsatellite markers and SNPs.  This core, new in July 2005, is the result of a merger between the Bioinformatics Core and the Genetic Data Analysis Core.  Bioinformatics support, resources, and expertise are available in storing and managing demographic, clinical, genotypic, microarray, proteomic, and biospecimen data.  This core also provides the necessary database structures and development expertise to assist a wide variety of projects.  The core offers consulting services and provides the central focus of communication via the Internet.  Consulting services are available to researchers in the following areas:  Database Design/Programming, Software Design/Programming and Network Systems Support. For genetic data analysis support, types of analyses include genomic screens, qualitative and quantitative linkage analysis, pedigree segregation analysis, case-control and family-based association analysis, single-marker and haplotype analysis, and studies on candidate genes, linkage disequilibrium, and gene-gene interactions. This core is under the faculty direction of David Sexton.  Data management, quality control, data storage, and simulation studies are also available through this Core.

For more specifics about the CGC, read our Boilerplate Core Description for Faculty Grants. 

For information about core services and pricing, please see the CGC Core Services and Fees.