DocumentCode
1993147
Title
Integrative Biomedical Informatics
Author
Athey, Brian D.
Author_Institution
Univ. of Michigan, Ann Arbor
fYear
2007
fDate
14-17 Oct. 2007
Firstpage
1450
Lastpage
1450
Abstract
The National Center for Integrative Biomedical Informatics (NCIBI) is one of seven National Centers for Biomedical Computing in the NIH Roadmap. NCIBI is based at the University of Michigan at Ann Arbor and Dr. Brian D. Athey is the founding director and principal investigator for the NCIBI. NCIBI is aimed to facilitate scientific exploration of complex disease processes on a much larger scale than is currently feasible. NCIBI develops and interactively integrates analytical, computational and modeling technologies to acquire or create context-appropriate molecular biology information from emerging experimental data, genomic databases and the published literature. The NCIBI supports information access and data analysis workflow of collaborating biomedical researchers, enabling them to build computational and knowledge models of biological systems validated through focused work on specific diseases. The NCIBI allows scientists to easily explore and understand complex diseases by building a user-centric environment containing integrated biomedical information. NCIBI is organized in a problem-centric style that harnesses the power of genomics, bioinformatics, proteomics, pathways and integrated systems. It provides customizable workflow environments and biomedical literature text mining. Knowledge environments being developed at NCIBI are allowing researchers to repeat this type of analysis in the many context-dependent variations that the investigation may invoke. NCIBI computing systems automate and drive these analyses to much larger scales than the researcher can accomplish. This plenary keynote lecture focus on the interactive research of NCIBI.
Keywords
biology computing; cellular biophysics; data analysis; data mining; diseases; genetics; medical computing; molecular biophysics; proteins; bioinformatics; biomedical computing; complex disease processes; context-appropriate molecular biology information; data analysis workflow; genomic databases; genomics; integrated systems; integrative biomedical informatics; pathways; proteomics; text mining; Analytical models; Bioinformatics; Biological system modeling; Biology computing; Biomedical computing; Biomedical informatics; Computational modeling; Diseases; Genomics; Information analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-1509-0
Type
conf
DOI
10.1109/BIBE.2007.4375769
Filename
4375769
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