DocumentCode :
427499
Title :
Computing through scientific abstractions in SysBioPSE
Author :
Chin, George, Jr. ; Stephan, Eric G. ; Gracio, Deborah K.
Author_Institution :
Fundamental Syst. Div., Pacific Northwest Nat. Lab., Richland, WA
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
70
Abstract :
At Pacific Northwest National Laboratory, we are researching and developing scientific computing environments for biologists and bioinformaticists. Important issues for us are how to motivate biologists to use new computational technologies and how to best incorporate and integrate disparate computational resources into computational biology research. In recent efforts, we have focused on the development of tools that support specific scientific abstractions or models that may be used as cognitive computational frameworks for biologists. The specific tools allow biologists to view and organize their computational work along the scientific concepts and theories that are under investigation, the experimental processes that are being carried out, and the logical structures and properties of the scientific data being examined and explored. This collection of tools and their underlying framework comprise a system known as SysBioPSE (system biology problem solving environment)
Keywords :
abstract data types; biology computing; problem solving; scientific information systems; bioinformaticists; biologists; cognitive computational framework; scientific abstractions; scientific computing; system biology problem solving environment; Bioinformatics; Biological system modeling; Biology computing; Cells (biology); Computational biology; Genomics; Pervasive computing; Problem-solving; Scientific computing; Systems biology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Conference_Location :
The Hague
ISSN :
1062-922X
Print_ISBN :
0-7803-8566-7
Type :
conf
DOI :
10.1109/ICSMC.2004.1398275
Filename :
1398275
Link To Document :
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