Exploring heterogeneous biological data sources

Elena Baralis, Alessandro Fiori

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

Abstract

Research activity in the life science area is becoming increasingly data intensive. Huge amounts of highly heterogeneous data, including high throughput experiment results, publication collections, and clinical records are generated at a fast pace by researchers all over the world. The capability of correlating heterogeneous information stored in separated data repositories is a compelling, yet currently unsatisfied, need for bioinformatics scientists. Recently developed systems address this issue by building knowledge repositories for specific bioinformatics subdomains such as protein-protein interaction or array expression analysis. In this paper we present an overview of heterogeneous biological data sources and discuss the many difficulties faced by biological data querying and analysis.

Original languageEnglish
Title of host publicationProceedings - International Workshop on Database and Expert Systems Applications, DEXA
Pages647-651
Number of pages5
DOIs
Publication statusPublished - 2008
EventDEXA 2008, 19th International Conference on Database and Expert Systems Applications - Turin, Italy
Duration: Sep 1 2008Sep 5 2008

Other

OtherDEXA 2008, 19th International Conference on Database and Expert Systems Applications
CountryItaly
CityTurin
Period9/1/089/5/08

ASJC Scopus subject areas

  • Engineering(all)

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