1) Gene Mapping: This group includes a high throughput genotyping laboratory, several molecular genetic labs, and a statistical genetics group. Current research focuses on both single gene disorders (certain forms of epilepsy, Wilson disease, etc.) and multifactorial disorders (autism, bipolar disorder, schizophrenia, diabetes, epilepsy) as well as the development of new statistical tools for analysis of complex disorders.
2) Physical and In Silico Mapping: This group has developed novel technology for rapid mapping and cloning of large segments of genomic DNA; for mining gene coding regions and elucidating genomic structure, for extending ESTs to full length cDNAs, etc. Recently, the group has shifted more towards in silico mapping strategies with a focus on integrating genomic data from disparate sites with the appropriate software tools for maximum interpretation and display of information.
3) DNA Chemistry and Sequencing: This group is devoted to the development of novel technologies for high throughput DNA sequencing and re-sequencing and for mutation scanning and mutation detection. Platforms include chip based sequencing, mass spectroscopy sequencing, and the combination of energy transfer dyes and combinatorial chemistry for multiplex detection. The group also includes a sub-group devoted to high throughput sequencing/re-sequencing that is based upon the MegaBace capillary sequencers.
4) Genomic Informatics: The largest Unit of the CGC, principal investigators in this group study diverse areas of computational biology and bio-informatics including: prediction of gene structure and function based upon analysis of DNA sequence and charge distribution – includes prediction of genomic structure, regions of gene-gene interaction, and promoter or regulatory regions; data mining including the prediction of protein coding regions and regulatory sequences; gene expression analysis including the use of support vector machine learning algorithms for supervised learning and prediction of presumptive regulatory sites by statistical analysis; integration of software for genomic applications; comparative genomics and evolutionary biology including the construction of phylogenetic trees to predict structural and functional relationships among genes; use of mutation rates and conserved sequence DNA to predict coding seqments and functional motifs; prediction of gene pathways and networks; and mathematical approaches to pathway prediction.
5) Functional Genomics: This group focuses on post-genomic research and technologies. Current efforts are being directed towards the development of a carbohydrate-based microarray system to extend the scope of biomedical research on carbohydrate-mediated molecular recognition and anti-infection responses. As a relatively long-term project, this group has been establishing libraries of monoclonal antibodies to meet the needs of structural and functional studies of newly discovered genes or disease-related genes. These efforts will be extended to develop antibody-based biochips for large scale analysis of protein expression, post-translational modifications, and their interactions with other cellular and microbial elements.