Integrated Architecture for Functional Genomic Measurements

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$118,892.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
W81XWH-04-C-0029
Award Id:
68272
Agency Tracking Number:
A032-1523
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
400 Totten Pond Road, Waltham, MA, 02451
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
009182267
Principal Investigator:
JackPollard
Director of Informatics R
(781) 890-4440
jpollard@3rdmill.com
Business Contact:
EricMeyers
Chief Operations Officer
(781) 890-4440
emeyers@3rdmill.com
Research Institute:
n/a
Abstract
The integrated informatics architecture proposed here will facilitate the construction of gene regulatory and other biological pathway models from networks of molecular and phenotypic associations. Current commercial or academic solutions are mostly limited to basic analysis of array data to determine differential expression and do not practically address the advanced analysis of array data to uncover sets of regulatory associations between genes. Moreover, no commercial solutions exist to assist scientists in the critically important task of taking the results of these advanced analyses and assembling testable models from them. The work proposed here will create a next generation informatics architecture that overcomes these deficiencies by providing (1) advanced analytical methods to identify from either Affymetrix or De Novo spotted RNA array data networks of regulatory associations between genes and (2) methods to assist in the interpretation of function genomic results by providing methods to build gene-phenotype association models about which, how and where molecules associate with one another and what are the molecular and phenotypic effects of the association. The components of the architecture will be able with freely exchange information with biological databases, literature mining, analysis and visualization applications to allow better interpretation of the resulting analyses and models.

* information listed above is at the time of submission.

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