The broad research goals of this Pre-NPEBC (Planning grant for National Program of Excellence in Biocomputing) are as follows A) Involving computational biologists in the design of novel experiments employing newly available genomic technologies B) The development of methods to manage the large amount and diverse types of data, to develop analysis methods capable of utilization of multiple types information on the same biological system C) The development of novel computational approaches to analyze functional genomics data -- approaches that will actively utilize existing biological knowledge in the computation D) The implementation of robust and freely available software tools to support these activities, and facilitate wide distribution of useful data resources and analytical methods to the scientific community. ? We will form a multidisciplinary team composing of investigators from several schools across Harvard University, to study these issues in the context of three specific scientific areas mammalian cell signaling, the role of genetic instability in evolution, and developing new tools for computational biology There will be three Developmental Projects 1) functional genomics and bioinformatics approach to RAS signaling, 2) genome instability and evolution, 3) software environment for functional genomics. ? During the course of this Pre-NPEBC, we will also establish the organizational structure of the NPEBC, institute seminar series and visitor program in computational biology, and enhance the curriculum and expand the enrollment of the computational biology graduate program with the aim of eventually establishing a PhD degree program in Computational Biology. ? ?

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory Grants (P20)
Project #
5P20CA096470-02
Application #
6668470
Study Section
Special Emphasis Panel (ZRG1-SSS-E (01))
Program Officer
Couch, Jennifer A
Project Start
2002-09-30
Project End
2005-08-31
Budget Start
2003-09-01
Budget End
2004-08-31
Support Year
2
Fiscal Year
2003
Total Cost
$748,878
Indirect Cost
Name
Harvard University
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
149617367
City
Boston
State
MA
Country
United States
Zip Code
02115
Thompson, Dawn A; Desai, Michael M; Murray, Andrew W (2006) Ploidy controls the success of mutators and nature of mutations during budding yeast evolution. Curr Biol 16:1581-90
Beroukhim, Rameen; Lin, Ming; Park, Yuhyun et al. (2006) Inferring loss-of-heterozygosity from unpaired tumors using high-density oligonucleotide SNP arrays. PLoS Comput Biol 2:e41
Kou, S C; Oh, Jason; Wong, Wing Hung (2006) A study of density of states and ground states in hydrophobic-hydrophilic protein folding models by equi-energy sampling. J Chem Phys 124:244903
Zhou, Xianghong Jasmine; Kao, Ming-Chih J; Huang, Haiyan et al. (2005) Functional annotation and network reconstruction through cross-platform integration of microarray data. Nat Biotechnol 23:238-43
Bardeesy, Nabeel; Kim, Minjung; Xu, Jin et al. (2005) Role of epidermal growth factor receptor signaling in RAS-driven melanoma. Mol Cell Biol 25:4176-88
Leykin, Igor; Hao, Ke; Cheng, Junsheng et al. (2005) Comparative linkage analysis and visualization of high-density oligonucleotide SNP array data. BMC Genet 6:7
Sabatine, Marc S; Liu, Emerson; Morrow, David A et al. (2005) Metabolomic identification of novel biomarkers of myocardial ischemia. Circulation 112:3868-75
Hong, Pengyu; Liu, X Shirley; Zhou, Qing et al. (2005) A boosting approach for motif modeling using ChIP-chip data. Bioinformatics 21:2636-43
Lin, Ming; Wei, Lee-Jen; Sellers, William R et al. (2004) dChipSNP: significance curve and clustering of SNP-array-based loss-of-heterozygosity data. Bioinformatics 20:1233-40
Cui, Yan; Zhou, Mi; Wong, Wing Hung (2004) Integrated analysis of microarray data and gene function information. OMICS 8:106-17

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