Funding is sought for a five-year mentored training period at the University of Pennsylvania for Dr. G.R. Grant to complete the transition from mathematics and computer science to independent investigator in computational biology. Dr. Grant has his Ph.D. in Mathematics from the University of Maryland and his Masters in Computer Science from the University of Pennsylvania. The principal mentor will be Professor C. Overton (Penn Center for Bioinformatics (PCBI)). The secondary mentor will be Dr. W. Ewens (Dept. Biology). Dr. Grant has begun the transition into computational biology with a two year postdoc in the biology department at the University of Pennsylvania, under Professor Ewens (funded by the National Science Foundation). During this postdoc he has split his time between PCBI and working with Professor Ewens and others on several bioinformatics research publications, and on writing a book on the general subject of statistical methods in bioinformatics. The work plan for the five years is: 1) To continue working on ongoing research project on the statistics of gene expression analysis, disease gene locating, developing genetic databases, and other projects in computational biology, particularly those involving statistical analysis. At least 60% of the working effort will be devoted to basic research of this type. 2) To finish the bioinformatics textbook, being written with Dr. Ewens, and currently half completed. It is expected to take about one year with 20% time devotion. This will involve careful study of several topics in bioinformatics from a basic to an advanced level. 3) To attend courses and workshops in molecular biology, biochemistry, genetics, and other related fields. Roughly one course per semester and one mini-course or workshop per year, for the first three years. 4) To complete a six-month lab rotation, the exact details of which are still to be worked out. This has been informally arranged with Dr. Vivian Cheung (Children's Hospital of Philadelphia).

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Mentored Quantitative Research Career Development Award (K25)
Project #
1K25HG000052-01A1
Application #
6263090
Study Section
Ethical, Legal, Social Implications Review Committee (GNOM)
Program Officer
Graham, Bettie
Project Start
2001-01-01
Project End
2005-12-31
Budget Start
2001-01-01
Budget End
2001-12-31
Support Year
1
Fiscal Year
2001
Total Cost
$108,578
Indirect Cost
Name
University of Pennsylvania
Department
Genetics
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Diskin, Sharon J; Eck, Thomas; Greshock, Joel et al. (2006) STAC: A method for testing the significance of DNA copy number aberrations across multiple array-CGH experiments. Genome Res 16:1149-58
Simmons, Craig A; Grant, Gregory R; Manduchi, Elisabetta et al. (2005) Spatial heterogeneity of endothelial phenotypes correlates with side-specific vulnerability to calcification in normal porcine aortic valves. Circ Res 96:792-9
Passerini, Anthony G; Shi, Congzhu; Francesco, Nadeene M et al. (2005) Regional determinants of arterial endothelial phenotype dominate the impact of gender or short-term exposure to a high-fat diet. Biochem Biophys Res Commun 332:142-8
Grant, Gregory R; Liu, Junmin; Stoeckert Jr, Christian J (2005) A practical false discovery rate approach to identifying patterns of differential expression in microarray data. Bioinformatics 21:2684-90
Manduchi, E; Grant, G R; He, H et al. (2004) RAD and the RAD Study-Annotator: an approach to collection, organization and exchange of all relevant information for high-throughput gene expression studies. Bioinformatics 20:452-9
Passerini, Anthony G; Polacek, Denise C; Shi, Congzhu et al. (2004) Coexisting proinflammatory and antioxidative endothelial transcription profiles in a disturbed flow region of the adult porcine aorta. Proc Natl Acad Sci U S A 101:2482-7
Polacek, Denise C; Passerini, Anthony G; Shi, Congzhu et al. (2003) Fidelity and enhanced sensitivity of differential transcription profiles following linear amplification of nanogram amounts of endothelial mRNA. Physiol Genomics 13:147-56
Grant, G R; Manduchi, E; Pizarro, A et al. (2003) Maintaining data integrity in microarray data management. Biotechnol Bioeng 84:795-800
Manduchi, Elisabetta; Scearce, L Marie; Brestelli, John E et al. (2002) Comparison of different labeling methods for two-channel high-density microarray experiments. Physiol Genomics 10:169-79