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Bertram Ludäscher

Publications and source records attributed to Bertram Ludäscher.

3 recordsLinked to original sources

Towards a formalization of disease-specific ontologies for neuroinformatics.

We present issues arising when trying to formalize disease maps, i.e. ontologies to represent the terminological relationships among concepts necessary to construct a knowledge-base of neurological disorders. These disease maps are being created in the context of a large-scale data mediation system being created for the Biomedical Informatics Research Network (BIRN). The BIRN is a multi-university consortium collaborating to establish a large-scale data and computational grid around neuroimaging data, collected across multiple scales. Test bed projects within BIRN involve both animal and human studies of Alzheimer's disease, Parkinson's disease and schizophrenia. Incorporating both the static 'terminological' relationships and dynamic processes, disease maps are being created to encapsulate a comprehensive theory of a disease. Terms within the disease map can also be connected to the relevant terms within other ontologies (e.g. the Unified Medical Language System), in order to allow the disease map management system to derive relationships between a larger set of terms than what is contained within the disease map itself. In this paper, we use the basic structure of a disease map we are developing for Parkinson's disease to illustrate our initial formalization for disease maps.

Electronic Data Processing↗

A cell-centered database for electron tomographic data.

Electron tomography is providing a wealth of 3D structural data on biological components ranging from molecules to cells. We are developing a web-accessible database tailored to high-resolution cellular level structural and protein localization data derived from electron tomography. The Cell Centered Database or CCDB is built on an object-relational framework using Oracle 8i and is housed on a server at the San Diego Supercomputer Center at the University of California, San Diego. Data can be deposited and accessed via a web interface. Each volume reconstruction is stored with a full set of descriptors along with tilt images and any derived products such as segmented objects and animations. Tomographic data are supplemented by high-resolution light microscopic data in order to provide correlated data on higher-order cellular and tissue structure. Every object segmented from a reconstruction is included as a distinct entity in the database along with measurements such as volume, surface area, diameter, and length and amount of protein labeling, allowing the querying of image-specific attributes. Data sets obtained in response to a CCDB query are retrieved via the Storage Resource Broker, a data management system for transparent access to local and distributed data collections. The CCDB is designed to provide a resource for structural biologists and to make tomographic data sets available to the scientific community at large.

Animals↗