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User-defined view automation of genomic databases

Published: 13 March 2005 Publication History

Abstract

This paper presents a solution to the problem of creating a subset database from the public genome databases, also known as a database view. While the techniques to generate views are well established already in the database system there are still some problems found where applying this technique in the genome database environment. The main problems that exist in the current methods of view creation are missing relevant results, returning irrelevant results and view creation processes are generally very time consuming for the user. The solution presented within provides an automated approach aimed at reducing the time needed to create a view, which is usually done by hand. The solution improves the searching method needed for view creation by the addition of two extra phases; the first, expanding the keyword search so that it captures all relevant results and second, a filtering phase to remove all the extra irrelevant results. The whole process is done in the background so that the user isn't required to spend much time fixing the results of inadequate search tools.

References

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Andrew Robinson and Wenny Rahayu (2004) Genome database integration, ICCSA 2004, LNCS 3045, pp 443--453
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Stephan Philippi (2004) Light-weight integration of molecular biological databases, Bioinformatics, pp 51--57.
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Jacob Kohler, Stephan Philippi and Matthias Lange (2003) SEMEDA: ontology based semantic integration of biological databases, Bioinformatics, pp 2420--2427.
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http://www.geneontology.org/, Gene Ontology Consortium, Gene Ontology Consortium.
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David Megginson, (1994) Hyper Grammar http://www.uottawa.ca/academic/arts/writcent/hypergrammar /grammar.html, University of Ottawa Canada.
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Natalya F. Noy and Deborah L. McGuinness (2001) Ontology Development 101: A Guide to Creating Your First Ontology, Stanford Report KSL-01-05 and SMI-2001-0880.
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Daniel Sleator and Davy Temperley (1993) Parsing English with a Link Grammar. Third International Workshop on Parsing Technologies
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T. K. Attwood, M. D. R. Croning, D. R. Flower, A. P. Lewis, J. E. Mabey, P. Scordis, J. N. Selly and W. Wright (2000) PRINTS-S the database formerly known as PRINTS, Nucleic Acids Research, pp. 225--227.
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Yury V. Bukhman and Jeffrey Skolnick (2001) BioMolQuest: integrated database-based retrieval of protein structural and functional information, Bioinformatics Vol. 12 no. 5, pp. 468--478.

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cover image ACM Conferences
SAC '05: Proceedings of the 2005 ACM symposium on Applied computing
March 2005
1814 pages
ISBN:1581139640
DOI:10.1145/1066677
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 13 March 2005

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  1. database views
  2. genome database
  3. ontology

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SAC05
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SAC05: The 2005 ACM Symposium on Applied Computing
March 13 - 17, 2005
New Mexico, Santa Fe

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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