Abstract

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.

  Funding Agency

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

  Institution

Name
Emory University
Department
Type
DUNS #
066469933
City
Atlanta
State
GA
Country
United States
Zip Code
30322

  Publications

Lee, Kate Y J; Lee, Gee Young; Lane, Lucas A et al. (2017) Functionalized, Long-Circulating, and Ultrasmall Gold Nanocarriers for Overcoming the Barriers of Low Nanoparticle Delivery Efficiency and Poor Tumor Penetration. Bioconjug Chem 28:244-252
Kaddi, Chanchala D; Wang, May D (2017) Models for Predicting Stage in Head and Neck Squamous Cell Carcinoma Using Proteomic and Transcriptomic Data. IEEE J Biomed Health Inform 21:246-253
Chih-Wen Cheng; Hang Wu; Thompson, Pamela J et al. (2016) Anticoagulation manager: development of a clinical decision support mobile application for management of anticoagulants. Conf Proc IEEE Eng Med Biol Soc 2016:2582-2585
Majumdar, Debatosh; Rahman, Mohammad Aminur; Chen, Zhuo Georgia et al. (2016) Anticancer activity of drug conjugates in head and neck cancer cells. Front Biosci (Elite Ed) 8:358-69
Kaddi, Chanchala D; Bennett, Rachel V; Paine, Martin R L et al. (2016) DetectTLC: Automated Reaction Mixture Screening Utilizing Quantitative Mass Spectrometry Image Features. J Am Soc Mass Spectrom 27:359-65
Tong, Li; Yang, Cheng; Wu, Po-Yen et al. (2016) Evaluating the impact of sequencing error correction for RNA-seq data with ERCC RNA spike-in controls. IEEE EMBS Int Conf Biomed Health Inform 2016:74-77
Phan, John H; Hoffman, Ryan; Kothari, Sonal et al. (2016) Integration of Multi-Modal Biomedical Data to Predict Cancer Grade and Patient Survival. IEEE EMBS Int Conf Biomed Health Inform 2016:577-580
Wu, Po-Yen; Wang, May D (2016) The Selection of Quantification Pipelines for Illumina RNA-seq Data Using a Subsampling Approach. IEEE EMBS Int Conf Biomed Health Inform 2016:78-81
Raharjo, I; Burns, T G; Venugopalan, J et al. (2016) Development of user-friendly and interactive data collection system for cerebral palsy. IEEE EMBS Int Conf Biomed Health Inform 2016:406-409
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

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