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 language | English |
|---|---|
| Title of host publication | Proceedings - International Workshop on Database and Expert Systems Applications, DEXA |
| Pages | 647-651 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | DEXA 2008, 19th International Conference on Database and Expert Systems Applications - Turin, Italy Duration: Sep 1 2008 → Sep 5 2008 |
Other
| Other | DEXA 2008, 19th International Conference on Database and Expert Systems Applications |
|---|---|
| Country | Italy |
| City | Turin |
| Period | 9/1/08 → 9/5/08 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Exploring heterogeneous biological data sources. / Baralis, Elena; Fiori, Alessandro.
Proceedings - International Workshop on Database and Expert Systems Applications, DEXA. 2008. p. 647-651 4624791.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Exploring heterogeneous biological data sources
AU - Baralis, Elena
AU - Fiori, Alessandro
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=57849112788&partnerID=8YFLogxK
U2 - 10.1109/DEXA.2008.116
DO - 10.1109/DEXA.2008.116
M3 - Conference contribution
SN - 9780769532998
SP - 647
EP - 651
BT - Proceedings - International Workshop on Database and Expert Systems Applications, DEXA
ER -