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Theme II-4 Abstracts

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Theme II-4: Quality Issues in Bioinformatics – T.N. Bhat, J. Rumble, G. Gilliland

Presentation abstracts will appear here as soon as possible.


The biotechnology sector has generated vast amounts of data and will continue to do so in the future. Consistent schema, uniform validation tools and standard database interfaces are needed to allow efficient queries and exchange of data. Quality and uniformity are two major issues for dependable and reliable results. However, data diversity is an important consideration from the point of view of accommodating a wide range of applications. By diversity we mean inclusion of the diverse nomenclature and description systems in place in biology.

The need for uniformity amid diversity may come in several contexts. Some examples are, molecule names, validation parameters, and definition of homology, definition of a domain, data formats and database query interfaces. A right balance between "order" and "disorder" among these terminologies is crucial for successful data exchange and user query interfaces. Another issue of great importance is the distinction between user deposited data and the value added information introduced by the organizers of the database. Most of the present efforts on data validation are in place only at the time of deposition of the data and they operate through the regular channels of refereeing. Often, for the purpose of improving quality and data uniformity, databases introduce new information. The topic of this session is to define and discuss these quality issues in bioinformatics and to propose improvements and ‘preferred validation procedures and guide lines’. The session is expected to focus on both archival databases (e.g., GenBank, SWISS-PROT, PDB ) and derived databases (e.g., SCOP, ModBase). Often, databases provide a citation for the database. However, due to practical and evolutionary reason, the citation may or may not adequately document the scope of the database. It is hoped that this session attempts to address these issues as well.

Quality Issues in Biomacromolecular Structure Databases
T.N. Bhat and G. Gilliland, NIST, USA

Validation of Protein Name Assignments in Databases
W.C. Barker, F. Pfeiffer, National Biomedical Research Foundation, USA

Incorporation of Feedback for Quality Control in Automated Protein Sequence Annotation
John S. Garavelli, Protein Information Resource, National Biomedical Research Foundation, Washington

Organisation and Standardisation of Information in SWISS-PROT and TrEMBL
Michele Magrane EMBL Outstation, Wellcome Trust Genome Campus

DANTE: A Workbench for Sequence Analysis
Javier Tamames* and Anna Tramontano

Problems with the denominator in epidemiological studies
Dirk J. van Schalkwyk , Faculty of Business Informatics, Cape Technikon, South Africa

Quality Issues in Data Banks for Molecular Biology
A. M. Lesk, University of Cambridge Clinical School, Wellcome Trust Institute for Molecular Mechanisms of Disease, Wellcome/MRC Building, Hills Road, Cambridge CB2 2XY, U.K

Round Table Discussion II-A: Standards in biological information Systems
A.M. Lesk, M. Krichevksy, W.C. Barker, M. Magrane.

 

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This page last updated September 15, 2000