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Advanced Technologies for Detection of Perturbation-Induced Cellular Signatures (U01)

Sector: Education • Location: United States of America

Source: Grants.gov

Project
Archived

Purpose. This FOA encourages grant applications that propose to develop or substantially adapt technologies and methodologies designed to significantly improve the functionality, quality, scope, and/or throughput of perturbation-induced cellular signature data generation. The technologies generated through this FOA are anticipated to accelerate the rate of data generation and the range of signatu

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The project “Advanced Technologies for Detection of Perturbation-Induced Cellular Signatures (U01)” is an infrastructure initiative in the Education sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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Description

Description

Purpose. This FOA encourages grant applications that propose to develop or substantially adapt technologies and methodologies designed to significantly improve the functionality, quality, scope, and/or throughput of perturbation-induced cellular signature data generation. The technologies generated through this FOA are anticipated to accelerate the rate of data generation and the range of signatures that can be identified and characterized by large scale high-throughput perturbation-induced signature collection efforts like The Library of Integrated Network-Based Cellular Signatures (LINCS). Mechanism of Support. This FOA will utilize the U01 award mechanism. It is intended to complement RFA-RM-10-003, Large Scale Production of Perturbagen-Induced Cellular Signatures (U54),that establishes data production efforts to systematize approaches for identifying mechanism-based associations among the effects of disparate biological perturbations and a knowledge base to study functional relationships among the responding cellular components. Released in parallel with this FOA is RFA-RM-10-005, Computational Tool Development and Integrative Data Analysis for LINCS (U01), which seeks to develop innovative computational tools and approaches for the integrative analysis of multiple types of data generated within LINCS. Funds Available and Anticipated Number of Awards. We expect to fund up to four awards in FY2011. Total funds available for the initiative are $2.8M in each of FY2011 and FY2012, contingent upon receiving scientifically meritorious proposals. For this funding opportunity, budgets up to $500,000 direct costs per year and time periods up to two years may be requested.

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High

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100%

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