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The Integrative Cancer Biology Program (ICBP): Centers for Cancer Systems Biology (CCSB) (U54)

Sector: Advanced Electronics • Location: United States of America

Source: Grants.gov

Project
Archived

Purpose. Through this funding opportunity announcement (FOA), the National Cancer Institute (NCI) solicits applications for Centers for Cancer Systems Biology (CCSB). CCSBs will be the core of a continued Integrative Cancer Biology Program (ICBP). The goal of the ICBP is to stimulate the development and application of integrative systems approaches and mathematical/computational modeling to canc

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The project “The Integrative Cancer Biology Program (ICBP): Centers for Cancer Systems Biology (CCSB) (U54)” is an infrastructure initiative in the Advanced Electronics sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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Description

Description

Purpose. Through this funding opportunity announcement (FOA), the National Cancer Institute (NCI) solicits applications for Centers for Cancer Systems Biology (CCSB). CCSBs will be the core of a continued Integrative Cancer Biology Program (ICBP). The goal of the ICBP is to stimulate the development and application of integrative systems approaches and mathematical/computational modeling to cancer research. This re-issuance seeks to continue those efforts, with explicit emphasis on the development of predictive computational modeling. CCSBs proposed in response to this FOA must be designed to address an overarching cancer biology problem and must include three integrated components: (1) experimental systems biology; (2) mathematical modeling and/or computer simulation (both focused on a common basic or translational research area); and (3) educational and outreach efforts complementary to the goals of the center. Funded CCSBs will be expected to interact within the ICBP consortium and with other NCI programs, sharing resources, knowledge, and skills. The overall goal is to establish critical focus of interdisciplinary research that will develop and utilize systems approaches coupled with mathematical modeling to facilitate the understanding and management of cancer.

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High

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100%

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