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Funding Update: NSF Bioinformatics Grants Awarded Nov. 15 — Dec. 19, 2012

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Computer Aided Prognosis of Debilitating Disease
Start Date: Jan. 1, 2013
Expires: June. 30, 2013
Awarded Amount to Date: $150,000
Principal Investigator: Andrew Buckler
Sponsor: VascuVis

This small business innovation research grant will support the development of a software toolkit for prognosis of vascular disease from dynamic time-series imaging data.


Distance, Consensus, and Query Algorithms for Recombinant Genealogies
Start Date: Feb. 1, 2013
Expires: Jan. 31, 2016
Awarded Amount to Date: $213,481
Principal Investigator: Mary Kuhner
Sponsor: University of Washington

These funds will support the development of “a mathematical measure of similarity between reconstructions of a chromosome's history” that will enable researchers test existing reconstruction algorithms. The investigator also intends to develop software that will “assess and display areas of agreement or disagreement among multiple reconstructions.”


Toward Robust and Scalable Discovering of Significant Associations in Massive Genetic Data
Start Date: Sept. 19, 2012
Expires: Sept. 30, 2016
Awarded Amount to Date: $442,303
Principal Investigator: Wei Wang
Sponsor: University of California, Los Angeles

These funds will support the development of a computational framework for performing large scale genotype-phenotype association studies. The investigator also intends to develop methods “for addressing sample relatedness, capturing confounding factors, and controlling multiple testing errors,” the abstract states.


Electrostatic Mechanisms in Protein Stability and Folding
Start Date: July 31, 2012
Expires: April 30, 2016
Awarded Amount to Date: $324,858
Principal Investigator: Jana Shen
Sponsor: University of Maryland, Baltimore

These funds will support the development and application of theoretical methods and molecular simulation tools “to characterize the denatured states and to discern residue-specific electrostatic contributions to the stability of model proteins,” the abstract states.


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