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NSF Bioinformatics Awards to April 30, 2005

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Protein Kinase Resource. Start date: Sept. 1, 2004. Expires: Aug. 31, 2005. Cumulative Award Amount: $577,118. Principal investigator: Michael Gribskov. Sponsor: Purdue University.

Supports further development of the existing Protein Kinase Resource (http://pkr.sdsc.edu). The database will integrate information from a variety of existing resources "in ways not previously achieved," according to the grantees. All data, software, and specifications will be publicly available, and database modules and APIs are expected to be used by other groups interested in other enzyme families.


REU Site in Bioinformatics and Computational Biology at CSHL. Start date: April 15, 2005. Expires: March 31, 2006. Awarded Amount to Date: $107,350. Principal investigator: Lilian Gann. Sponsor: Cold Spring Harbor Laboratory.

Supports an REU (Research Experience for Undergraduates) site at Cold Spring Harbor Laboratory for students to learn about bioinformatics and computational biology. Ten students will be accepted to the 10-week NSF REU summer research program.


A Simulation Approach to the Evolution of the G-Matrix. Start date: April 15, 2005. Expires: March 31, 2008. This grant is awarded to two investigative teams:

  • Oregon State University. Principal investigator: Stevan Arnold. Awarded amount to date: $38,536.
  • Texas A&M Research Foundation. Principal investigator: Adam Jones. Awarded amount to date: $95,400.

Project participants will collaborate on computer simulation studies of G-matrix stability and evolution. The G-matrix is a statistical description of the pattern of genetic variances and covariances among quantitative traits, and is the central concept of inheritance in theoretical models for the evolution of characteristics that are affected by many genes, such as body size, intelligence, and susceptibility to some kinds of disease. One aim of the project is to determine how randomly varying selective pressures affect G-matrix stability. Another aim is to determine how details of genetic architecture (such as mutation, linkage, dominance, and epistasis) affect both the stability and evolution of the G-matrix.

 

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