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Modeling G1/S Transition During Yeast Cell Cycle [nsfg1s]
NSF D0241160 (PI Zhao)
1/1/03 - 12/31/06
NSF
Statistical and Computational Methods in Genomics and Proteomics and their Applications to Modeling the G11 Transition during Yeast Cell Cycle
Role: co-PI
In this project a team of researchers with expertise in statistics, genomics, proteomics, bioinformatics and computer science will develop an integrative approach to constructing biological pathways. The Gerstein lab contribution is to do data-mining to build biological networks.
Whole Project Website: http://bioinformatics.med.yale.edu/transcriptionalmodeling.htm
Year 1 report [ html ]
Year 2 report [ html ]
Year 3 report [ html ]
URL: https://www.fastlane.nsf.gov/servlet/showaward?award=0241160
Articles funded by this grant:
- A high productivity/low maintenance approach to high-performance computation for biomedicine: four case studies.
- N Carriero, MV Osier, KH Cheung, PL Miller, M Gerstein, H Zhao, B Wu, S Rifkin, J Chang, H Zhang, K White, K Williams, M Schultz (2005) J Am Med Inform Assoc 12: 90-8.
- Genomic analysis of regulatory network dynamics reveals large topological changes.
- NM Luscombe, MM Babu, H Yu, M Snyder, SA Teichmann, M Gerstein (2004) Nature 431: 308-12.
- Genomic analysis of gene expression relationships in transcriptional regulatory networks.
- H Yu, NM Luscombe, J Qian, M Gerstein (2003) Trends Genet 19: 422-7.
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