Semantics based operators for integrating heterogeneous biological data sources

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Advances in analytical techniques have drastically increased the amount of biological data available, which in turn has increased the difficulty and complexity of biological knowledge discovery. It is important to have mechanisms to take full advantage of the data not only for doing simple searches, but also for answering ad hoc and complex questions at the user's will by virtually connecting the heterogeneous data sources. In this paper we propose and formally define new operators that can be used for sequence comparison and alignment. Furthermore, cross-database operators can be developed based on work presented in this paper to dynamically link different types of databases. We believe this will liberate biological researchers from unproductive labor and allow them to focus on pattern seeking and interpretation of results.

Original languageEnglish (US)
Title of host publication18th International Conference on Systems Engineering, ICSEng 2005
Pages16-21
Number of pages6
DOIs
StatePublished - 2005
Event18th International Conference on Systems Engineering, ICSEng 2005 - Las Vegas, NV, United States
Duration: Aug 16 2005Aug 18 2005

Publication series

NameProceedings - 18th International Conference on Systems Engineering, IICSEng 2005
Volume2005

Other

Other18th International Conference on Systems Engineering, ICSEng 2005
Country/TerritoryUnited States
CityLas Vegas, NV
Period8/16/058/18/05

ASJC Scopus subject areas

  • General Engineering

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