Collecting and harvesting biological data: the GPCRDB and NucleaRDB information systems

The amount of genomic and proteomic data that is entered each day into databases and the experimental literature is outstripping the ability of experimental scientists to keep pace. While generic databases derived from automated curation efforts are useful, most biological scientists tend to focus on a class or family of molecules and their biological impact. Consequently, there is a need for molecular class-specific or other specialized databases. Such databases collect and organize data around a single topic or class of molecules. If curated well, such systems are extremely useful as they allow experimental scientists to obtain a large portion of the available data most relevant to their needs from a single source. We are involved in the development of two such databases with substantial pharmacological relevance. These are the GPCRDB and NucleaRDB information systems, which collect and disseminate data related to G protein-coupled receptors and intra-nuclear hormone receptors, respectively. The GPCRDB was a pilot project aimed at building a generic molecular class-specific database capable of dealing with highly heterogeneous data. A first version of the GPCRDB project has been completed and it is routinely used by thousands of scientists. The NucleaRDB was started recently as an application of the concept for the generalization of this technology. The GPCRDB is available via the WWW at http://www.gpcr.org/7tm/ and the NucleaRDB at http://www.receptors.org/NR/.

Integration of speech with natural language understanding.

The integration of speech recognition with natural language understanding raises issues of how to adapt natural language processing to the characteristics of spoken language; how to cope with errorful recognition output, including the use of natural language information to reduce recognition errors; and how to use information from the speech signal, beyond just the sequence of words, as an aid to understanding. This paper reviews current research addressing these questions in the Spoken Language Program sponsored by the Advanced Research Projects Agency (ARPA). I begin by reviewing some of the ways that spontaneous spoken language differs from standard written language and discuss methods of coping with the difficulties of spontaneous speech. I then look at how systems cope with errors in speech recognition and at attempts to use natural language information to reduce recognition errors. Finally, I discuss how prosodic information in the speech signal might be used to improve understanding.

Vehicle integration and evaluation of advanced restraint systems. Phase B - test report: Torino-to-Volvo tests.

National Highway Traffic Safety Administration, Washington, D.C.

Exploring the future of Indian Health information systems /

"February 1998."

Evaluation of warning and information systems. Part II, commercial radio advisories. Final report.

Federal Highway Administration, Washington, D.C.

Vehicle integration and evaluation of advanced restraint systems - restraint systems analyses. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Vehicle integration and evaluation of advanced restraint systems. Phase A - test report: Volvo-to-Volvo [and] Volvo-to-barrier test.

National Highway Traffic Safety Administration, Washington, D.C.

Quarterly technical progress report of the Information Engineering Laboratory.

Mode of access: Internet.

Record of achievements and plans of the Information Engineering Laboratory in the Department of Computer Science of the University of Illinois at Urbana-Champaign, 1955-1973

Mode of access: Internet.