Text Box: Toolmakers for Bioinformatics 
Dr. Xinghua Lu, Director
(NIH/NLM)
Training in Bioinformatics is focused on theory identification and algorithm development for tool makers. The program reflects the biomedical research emphasis associated with a Medical University. The resulting multidisciplinary emphasis together with the integration with clinical outcomes establishes the stage for cutting edge computational Biology research. Moreover, the proximity to the federal research facilities of NOAA and the Hollings Marine Laboratory promotes the integration in a wider Biological framework. In particular, the training program reflects close interaction with the bioinformatics core and mathematical modeling projects of the NHLBI Proteomics Center as well as the hosting of the computational component of the Marine Genomics Initiative.







Text Box: Approximately 6 new NLM/NIH  and NIGMS/NIH graduate student positions are offered every year as part of existing training grants. The positions are directed to self-motivated candidates wanting to be at the statistical, computational and bioinformatics forefront of 

Biomarker and Target discovery. 

The positions come with full  stipend and independent funds for attending conferences and pocket money for purchase of training material.
Text Box: Quantitative Leadership in the New Era of Biomedical Research
Text Box: Biostatistics for Basic Biomedical Research
Dr. Elizabeth Slate, Director (NIH/NIGMS)
The Biostatistics for Basic Biomedical Research program trains a new generation of biostatisticians to assume key roles in the “omics” era of biomedical research. The program stresses the integration of biostatistical theory and methods, including nonlinear systems analysis and mathematical modeling, with tools from bioinformatics to address quantitative frontiers in modern multi-disciplinary biological research.  The program incorporates entry level, broad-based didactic and laboratory training in the biomedical sciences and an established biostatistics program.  Students work jointly with biostatistics and biomedical sciences faculty on the frontier of “omics” research.
Text Box: For more information, please see
http://bioinformatics.musc.edu
http://biometriy.musc.edu

Department of Biostatistics, Bioinformatics and Epidemiology
Medical University of South Carolina
Phone: (843) 876-1100
Fax: (843) 876-1126
E-mail: SlateEH@musc.edu

Two-dimensional gel electrophoresis analysis separates proteins by molecular weight and isoelectric point.  An experiment typically generates many gels depicting the protein distributions for multiple experimental conditions.  The diagram to the left depicts the protein intensities for each spot (column) for a series of gels (rows).  The intensities have been clustered by gel and by spot.