View source for NCBC Training

'''Training Events led by the NIH-Funded National Centers for Biomedical Computing'''

'''Subscribe to the NIH Listserv for NCBC Training events and get monthly emails notifying you of upcoming training events in your area: [https://list.nih.gov/archives/ncbc-training-l.html]'''

For general information about the NCBC Program, see [www.ncbcs.org].  For information about specific training events, follow links that provide further information or contact the Center PI through the Center website.

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==Center for Computational Biology==
PI: Arthur Toga, Ph.D. <br>
PI Institution: University of California at Los Angeles <br>
NIH Program Officer (PO): Greg Farber, Ph.D. (NCRR)<br>
NIH Lead Science Officer (LSO): John Haller, Ph.D. (NIBIB) <br>
Center URL: http://www.loni.ucla.edu/CCB/ <br>

Upcoming Events:<br>


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==Informatics for Integrating Biology and the Bedside==
PI: Isaac Kohane, M.D., Ph.D. <br>
PI Institution: Brigham and Women's Hospital <br>
NIH Program Officer (PO): Valerie Florance (NLM) <br>
NIH Lead Science Officer (LSO): Valentina Di Francesco (NIAID) <br>
Center URL: [http://www.partners.org/i2b2] <br>

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==National Alliance for Medical Imaging Computing==
PI: Ron Kikinis, M.D. <br>
PI Institution: Brigham and Women's Hospital <br>
NIH Program Officer (PO): Zohara Cohen, Ph.D. (NIBIB) <br>
NIH Lead Science Officer (LSO): Michael Ackerman, Ph.D. (NLM) <br>
Center URL: [http://www.na-mic.org/] <br>

Upcoming Events:

* Tuesday February 24 at 1249 Boylston: [http://www.slicer.org/slicerWiki/index.php/Slicer3:Using3.4 Afternoon session to walk through common Slicer3.4 usage scenarios]
* Spring 2009: NA-MIC 3D Visualization course for Radiology residents, Brigham and Women's Hospital, Boston, MA 
* [[2009_Summer_Project_Week|June 22-26, 2009: The FIRST JOINT NA-MIC, NCIGT, and NAC Summer Project Week at MIT]]
* October 17-21, 2009: [http://www.sfn.org/index.cfm?pagename=am2009preview Annual Meeting of the Society of Neuroscience, Chicago IL]
* November 29 - December 4, 2009: [http://rsna2008.rsna.org/RSNA_2009.cfm Annual Meeting of the Radiological Society of North America, Chicago IL]

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==Physics-based Simulation of Biological Structures==
PI: Russ Altman, M.D., Ph.D. (Stanford), Scott Delp, Ph.D. (Co-PI, Stanford) <br>
PI Institution: Stanford University <br>
ID: 1-U54-GM072970 <br>
NIH Program Officer (PO): Peter Lyster, Ph.D. (NIGMS) <br>
NIH Lead Science Officer (LSO): Jennie Larkin, Ph.D. (NHLBI) <br> 
Center URL: http://cbmc-web.stanford.edu/simbios/ <br>

Upcoming Events:


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The NIH Roadmap National Centers for Biomedical Computing awarded in 2005 were: 
National Center for Biomedical Ontology
PI: Mark A. Musen, M.D., Ph.D. 
PI Institution: Stanford University
ID: 1-U54-HG004028-01
NIH Program Officer (PO): Peter Good, Ph.D. (NHGRI)
NIH Lead Science Officer (LSO): Peter Lyster (NIGMS) 
NIH Science Officers (SO): Arthur Castle (NIDDK), German Cavelier (NIMH), Jennifer Couch (NCI), Sherri De Coronado (NCI), Christopher Greer (NSF), Jennie Larkin (NHLBI), Karen Skinner (NIDA), Ram Sriram (NIST)
Center URL: http://bioontology.org/ 

NCBO Summary:
The National Center for Biomedical Ontology (NCBO) is a consortium of leading biologists, clinicians, informaticians, and ontologists who develop innovative technology and methods that allow scientists to create, disseminate, and manage biomedical information and knowledge in machine-processable form. The vision for the NCBO is that all biomedical knowledge and data are disseminated on the Internet using principled ontologies, such that the knowledge and data are semantically interoperable and useful for furthering biomedical science and clinical care. The Center’s resources include: an integrated Open Biomedical Ontologies (OBO) library; the BioPortal, a web portal for accessing, visualizing, and biomedical ontologies; a database of annotations on experimental data, the Open Biomedical Data (OBD) repositories; and tools for accessing and using this biomedical information in research.  The NCBO collaborates with Driving Biological Projects (DBPs) that involve the development and use of ontologies to annotate different types of biomedical information and to extract additional knowledge from this data.  Two DBPs based at model organism databases for zebrafish and fruit flies focus on the development and application of ontologies to describe phenotypes with the broad goal of integrating human and model organism data.  An additional DBP applies ontologies to structure data to enable the analysis of HIV clinical trial data.  A key component of the NCBO is the dissemination plan to institute frequent, formal workshops to help investigators at the grass roots to design biomedical ontologies of more utility and of more lasting value. These workshops are part of a general endeavor to establish and test best practices in ontology-building and to disseminate these practices across an ever wider community in ways designed to assure comparability of data.

Upcoming Events:


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National Center for Integrative Biomedical Informatics
PI: Brian D. Athey, Ph.D. 
PI Institution: University of Michigan
ID: 1-U54-DA021519-01A1
NIH Program Officer (PO): Karen Skinner, Ph.D.(NIDA)
NIH Lead Science Officer (LSO): Jane Ye (NLM)
NIH Science Officers (SO): Mayada Akil (NIMH), Lisa Brooks (NHGRI), Jennifer Couch (NCI), German Cavelier (NIMH), David Harlan (NIDDK), Peter Highnam (NCRR), Peter Lyster (NIGMS), Di Francesco Valentina (NIAID) 
Center URL: http://www.ncibi.org/

NCIBI Summary: 
The Mission of the National Center for Integrative Biomedical Informatics (NCIBI.org) is to create targeted knowledge environments for molecular biomedical research that help guide experiments and enable new insights from the analysis of complex diseases. NCIBI develops efficient software tools, data integration methods, and systems modeling environments. The resulting NICIBI “suite of tools and data” facilitates rapid construction of context-appropriate molecular biology information schemas from experimental data, biomedical databases, and the published literature. These tools, together with laboratory and community data resources, have accelerated our assembly of relevant information for research on our four Driving Biological Problems (DBPs): Prostate Cancer Progression, Complications of Type-1 Diabetes, Genetic Heterogeneity of Type-2 Diabetes, and Genetic Susceptibility of Bipolar Disorder. NCIBI is disseminating these tools, data, and their integration capabilities for applications through portal-enhanced outreach and innovative web-based interactive training and educational programs for our partners around the country and for the broader NIH community and potential new collaborators. 
Upcoming Events:


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National Center for the Multi-Scale Analysis of Genomic and Cellular Networks
PI: Andrea Califano, Ph.D. 
PI Institution: Columbia University
ID: 1-U54-CA121852-01A1
NIH Program Officer (PO): Dan Gallahan, Ph.D. (NCI)
NIH Lead Science Officer (LSO): Salvatore Sechi, Ph.D. (NIDDK) 
NIH Science Officers (SO): Valerie Florance (NLM)
Center URL: http://magnet.c2b2.columbia.edu/

MAGNet Summary:
Cellular processes are determined by the concerted activity of thousands of genes, their products, and a variety of other molecules. This activity is coordinated by a complex network of biochemical interactions largely determined by molecular structures and physiochemical properties which control common intra and inter-cellular functions over a wide range of scales. At an increasing level of granularity, these may range from the formation/activation of transcriptional complexes, to the availability of a signaling pathway, all the way to complex, macroscopic cellular processes, such as cell adhesion. Understanding this organization is crucial for the elucidation of biological function and for framing associated health related applications in a quantitative, molecular context. Additionally, the emerging complexity of these molecular interactions in the cell calls for a new level of sophistication in the design of genome-wide computational approaches. 
The National Center for the Multiscale Analysis of Genomic and Cellular Networks (MAGNet) addresses this challenge through the application of both knowledge-based and physics-based methods. The Center provides an integrative computational framework to organize molecular interactions in the cell into manageable context dependent components. Furthermore, it is developing a variety of interoperable computational models and tools that can leverage such a map of cellular interactions to elucidate important biological processes and to address a variety of biomedical applications.



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