Bioinformatics, Vol 14, 656-664, Copyright © 1998 by Oxford University Press
M Rebhan, V Chalifa-Caspi, J Prilusky and D Lancet
MOTIVATION: Modern biology is shifting from the 'one gene one postdoc'
approach to genomic analyses that include the simultaneous monitoring of
thousands of genes. The importance of efficient access to concise and
integrated biomedical information to support data analysis and decision
making is therefore increasing rapidly, in both academic and industrial
research. However, knowledge discovery in the widely scattered resources
relevant for biomedical research is often a cumbersome and non-trivial
task, one that requires a significant amount of training and effort.
RESULTS: To develop a model for a new type of topic-specific overview
resource that provides efficient access to distributed information, we
designed a database called 'GeneCards'. It is a freely accessible Web
resource that offers one hypertext 'card' for each of the more than 7000
human genes that currently have an approved gene symbol published by the
HUGO/GDB nomenclature committee. The presented information aims at giving
immediate insight into current knowledge about the respective gene,
including a focus on its functions in health and disease. It is compiled by
Perl scripts that automatically extract relevant information from several
databases, including SWISS-PROT, OMIM, Genatlas and GDB. Analyses of the
interactions of users with the Web interface of GeneCards triggered
development of easy-to-scan displays optimized for human browsing. Also, we
developed algorithms that offer 'ready-to-click' query reformulation
support, to facilitate information retrieval and exploration. Many of the
long-term users turn to GeneCards to quickly access information about the
function of very large sets of genes, for example in the realm of
large-scale expression studies using 'DNA chip' technology or
two-dimensional protein electrophoresis. Availability: Freely available at
http://bioinformatics.weizmann.ac.il/cards/ Contact:
cards@bioinformatics.weizmann.ac.il
ARTICLES
GeneCards: a novel functional genomics compendium with automated data mining and query reformulation support
1Department of Molecular Genetics, 2Department of Biological Services (Bioinformatics Unit) and 3The Genome Center, Weizmann Institute of Science, 76100 Rehovot, Israel.
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