DocumentCode
3600086
Title
Navigating through the biological maze
Author
Lacroix, Zoe ; Parekh, Kaushal ; Raschid, Louiqa ; Vidal, Maria Esther
Author_Institution
Arizona State Univ., Tempe, AZ, USA
fYear
2004
Firstpage
594
Lastpage
599
Abstract
Advances in genome science have created a surge of data. These data critical to scientific discovery are made available in thousands of heterogeneous public resources. Each of these resources provides biological data with a specific data organization, format, and quality, object identification, and a variety of capabilities that allow scientists to access, analyze, cluster, visualize and navigate through the datasets. The heterogeneity of biological resources and their increasing number make it difficult for scientists to exploit and understand them. Learning the properties of a new resource is a tedious and time-consuming process, often made more difficult by the many changes made on the resources (new or changed information, capabilities) that stress scientists keeping their knowledge up-to-date. Therefore many scientists master a few resources while ignoring others that may provide additional data and useful capabilities.
Keywords
biology computing; data analysis; data visualisation; genetics; information resources; information retrieval; pattern clustering; biological resource navigation; data access; data analysis; data clustering; data visualization; genome; heterogeneous public resources; object identification; scientific discovery; specific data format; specific data organization; specific data quality; Access protocols; Bioinformatics; Biology; Data mining; Databases; Filters; Genomics; Information retrieval; Navigation; Surges;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Systems Bioinformatics Conference, 2004. CSB 2004. Proceedings. 2004 IEEE
Print_ISBN
0-7695-2194-0
Type
conf
DOI
10.1109/CSB.2004.1332510
Filename
1332510
Link To Document