Title :
The Storage, Retrieval, and Visualization of Biological Pathway Data
Author :
Boswell, Evan P. ; Wessler, John T. ; Cvek, Urska ; Trutschl, Marjan
Author_Institution :
Dept. of Comput. Sci., Louisiana State Univ. Shreveport, Shreveport, LA, USA
Abstract :
Biological pathways are key to the existence of all life forms. They illustrate how organisms can take one or more molecules and utilize them in such a way that yields products which can be crucial to it sustaining life. It is rare that these are one or two step procedures or very linear mechanisms. Typically, pathways are multi-stepped occurrences with many key intermediates. This complexity can make them difficult to read and properly understand. We present a system in which we store and utilize pathway data to programmatically create user-friendly and informative visualizations.
Keywords :
biology computing; data visualisation; information retrieval; information storage; biological pathway data; data retrieval; data storage; data visualization; informative visualization; multistepped occurrences; user-friendly visualization; Biochemistry; Bioinformatics; Biology; Data visualization; Encyclopedias; Genomics; Information retrieval; Organisms; Relational databases; Visual databases; Pathways; graph; visualization;
Conference_Titel :
Information Visualisation, 2009 13th International Conference
Conference_Location :
Barcelona
Print_ISBN :
978-0-7695-3733-7