Perspective abstract
Nature Neuroscience 7, 467 - 472 (2004)
Published online: 27 April 2004 | doi:10.1038/nn1229
e-Neuroscience: challenges and triumphs in integrating distributed data from molecules to brains
Maryann E Martone1, Amarnath Gupta1 & Mark H Ellisman1
Abstract
Imaging, from magnetic resonance imaging (MRI) to localization of specific macromolecules by microscopies, has been one of the driving forces behind neuroinformatics efforts of the past decade. Many web-accessible resources have been created, ranging from simple data collections to highly structured databases. Although many challenges remain in adapting neuroscience to the new electronic forum envisioned by neuroinformatics proponents, these efforts have succeeded in formalizing the requirements for effective data sharing and data integration across multiple sources. In this perspective, we discuss the importance of spatial systems and ontologies for proper modeling of neuroscience data and their use in a large-scale data integration effort, the Biomedical Informatics Research Network (BIRN).
- Maryann E. Martone is in the Department of Neurosciences, National Center for Microscopy and Imaging Research and The Center for Research in Biological Systems, The University of California San Diego, La Jolla, California 92093-0608, USA. Amarnath Gupta is at the San Diego Supercomputer Center, The University of California San Diego, La Jolla, CA 92093-0505, USA. Mark H. Ellisman is affiliated with all of the above institutions.
Correspondence to: Mark H Ellisman1 e-mail: mark@ncmir.ucsd.edu
MORE ARTICLES LIKE THIS
These links to content published by NPG are automatically generated.
RESEARCH
EPA and DHA reduce LPS-induced inflammation responses in HK-2 cells: Evidence for a PPAR-γ?dependent mechanismKidney International Original Article
