This Biocomputing and Bioinformatics Core (BBC) will have four main functions: (1) to support all CCNE projects in biomarker analysis and database mining;(2) to process, analyze, and interpret nanoparticle imaging data of both cancer cells and tissue specimens;(3) to develop a high-speed biocomputing infrastructure for information processing, management, and data sharing within the CCNE;and (4) to interface with the NCI Cancer Biomedical Informatics Grid (CaBIG), and to share data and tools with other CCNE centers and with the broader scientific community. This Core builds on the biocomputing strengths in the joint Emory/Georgia Tech Department of Biomedical Engineering, especially the translational cancer bioinformatics and bioimaging facilities of the Medical Informatics and Bioimaging Lab (MIB Lab) under the direction of Dr. M. Wang.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA119338-05
Application #
7937751
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
2012-08-31
Budget Start
2009-09-01
Budget End
2012-08-31
Support Year
5
Fiscal Year
2009
Total Cost
$363,768
Indirect Cost
Name
Emory University
Department
Type
DUNS #
066469933
City
Atlanta
State
GA
Country
United States
Zip Code
30322
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Kothari, Sonal; Wu, Hang; Tong, Li et al. (2016) Automated Risk Prediction for Esophageal Optical Endomicroscopic Images. IEEE EMBS Int Conf Biomed Health Inform 2016:160-163
Quan, Li; Wu, Jiangxiao; Lane, Lucas A et al. (2016) Enhanced Detection Specificity and Sensitivity of Alzheimer's Disease Using Amyloid-?-Targeted Quantum Dots. Bioconjug Chem 27:809-14
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Pethiyagoda, Theruni; Chanani, Nikhil; Cheng, Chihwen et al. (2016) PEPCOR - A Risk Prediction Model for Pediatric Intensive Care Units Utilizing Ventilator Days and Length of Stay. IEEE EMBS Int Conf Biomed Health Inform 2016:86-89

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