Information integration is rapidly becoming a severe bottleneck in biomedical science as researchers grapple with complex disease processes and rapidly increasing data volumes. The University of Michigan will establish a National Center for Integrative Biomedical Informatics (NCIBI) to meet this challenge and thereby advance the study of complex, clinically significant biomolecular systems. The Center will develop problem-posing computational architecture within a managed software and data infrastructure that will permit the facile manipulation and analysis of today's massive data sets. This architecture exploits scalable and flexible software technology and enables component reuse and re-organization. The Center's knowledge environment implements full provenance tracking for information, and thus enables users to 'drill-down'to primary source data and to appropriately cite data providers. With this infrastructure, an integrative modeling and hypothesis-testing resource will be created, drawing on public databases, high-throughput experimental data, and literature resources. Biological knowledge environments, improved ontologies and advanced tools for information retrieval will be developed to use with this integrated knowledge base. These environments will enable the analysis and modeling of complex and dynamic biomedical systems, and in time will allow the integration of biomedical and behavioral data at multiple levels of organization. The NCIBI will demonstrate and challenge these technologies with four driving biological projects in Type I and Type II diabetes, prostate cancer and the genetics of bipolar disorders. We will facilitate community access, collaborative activities, and data sharing in the Center, and freely disseminate tools and web-based services for biomolecular data analysis. The NCIBI will establish innovative education and training programs leveraging the integrated information resource. Intrinsic to the Center will be a secure computational infrastructure to support its activities. Administrative structures will be established to manage and sustain the Center. An Intellectual Property and Data Sharing Committee will set and modify data and software dissemination and use policies. The NCIBI Executive Committee will review and recruit new Driving Biological Projects (DBPs). The Center will be overseen by the Co-PIs and a professional project manager.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
3U54DA021519-05S2
Application #
8143800
Study Section
Special Emphasis Panel (ZRG1-BST-A (55))
Program Officer
Pollock, Jonathan D
Project Start
2005-09-25
Project End
2012-07-31
Budget Start
2010-08-01
Budget End
2012-07-31
Support Year
5
Fiscal Year
2010
Total Cost
$2,776,008
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Psychiatry
Type
Schools of Medicine
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Sarntivijai, Sirarat; Zhang, Shelley; Jagannathan, Desikan G et al. (2016) Linking MedDRA(®)-Coded Clinical Phenotypes to Biological Mechanisms by the Ontology of Adverse Events: A Pilot Study on Tyrosine Kinase Inhibitors. Drug Saf 39:697-707
Nemzek, Jean A; Hodges, Andrew P; He, Yongqun (2015) Bayesian network analysis of multi-compartmentalized immune responses in a murine model of sepsis and direct lung injury. BMC Res Notes 8:516
Contreras-Galindo, Rafael; Kaplan, Mark H; Dube, Derek et al. (2015) Human Endogenous Retrovirus Type K (HERV-K) Particles Package and Transmit HERV-K-Related Sequences. J Virol 89:7187-201
Farrah, Terry; Deutsch, Eric W; Omenn, Gilbert S et al. (2014) State of the human proteome in 2013 as viewed through PeptideAtlas: comparing the kidney, urine, and plasma proteomes for the biology- and disease-driven Human Proteome Project. J Proteome Res 13:60-75
Gonzalez-Hernandez, Marta J; Cavalcoli, James D; Sartor, Maureen A et al. (2014) Regulation of the human endogenous retrovirus K (HML-2) transcriptome by the HIV-1 Tat protein. J Virol 88:8924-35
Dimas, Antigone S; Lagou, Vasiliki; Barker, Adam et al. (2014) Impact of type 2 diabetes susceptibility variants on quantitative glycemic traits reveals mechanistic heterogeneity. Diabetes 63:2158-71
Martini, Sebastian; Nair, Viji; Keller, Benjamin J et al. (2014) Integrative biology identifies shared transcriptional networks in CKD. J Am Soc Nephrol 25:2559-72
Menon, Rajasree; Im, Hogune; Zhang, Emma Yue et al. (2014) Distinct splice variants and pathway enrichment in the cell-line models of aggressive human breast cancer subtypes. J Proteome Res 13:212-27
Sun, Bingyun; Ma, Li; Yan, Xiaowei et al. (2013) N-glycoproteome of E14.Tg2a mouse embryonic stem cells. PLoS One 8:e55722
Martini, Sebastian; Nair, Viji; Patel, Sanjeevkumar R et al. (2013) From single nucleotide polymorphism to transcriptional mechanism: a model for FRMD3 in diabetic nephropathy. Diabetes 62:2605-12

Showing the most recent 10 out of 166 publications