DocumentCode
832858
Title
Sigmoid: a software infrastructure for pathway bioinformatics and systems biology
Author
Cheng, Jianlin ; Scharenbroich, Lucas ; Baldi, Pierre ; Mjolsness, Eric
Author_Institution
California Univ., Irvine, CA, USA
Volume
20
Issue
3
fYear
2005
Firstpage
68
Lastpage
75
Abstract
Biological systems encompass everything from immune and nervous systems to ecosystems. Systems biology, however, focuses primarily on unraveling molecular systems at the level of pathways and groups of pathways in a cell and its neighboring cells. Here we address the challenge of creating an expert assistance system for modeling biological pathways, using current software technology to decrease development costs and complexity. Our goal is to provide computational support to biologists and computational scientists who need to create and explore predictive dynamical models of complex biological systems such as metabolic, gene-regulation, or signal-transduction pathways in living cells.
Keywords
Java; Unified Modeling Language; biology computing; biotechnology; data mining; genetics; graphical user interfaces; medical expert systems; middleware; query languages; software architecture; Sigmoid; expert assistance system; gene-regulation pathway; living cells; metabolic pathway; molecular systems; pathway bioinformatics; predictive dynamical models; signal-transduction pathways; software infrastructure; systems biology; Bioinformatics; Biological system modeling; Biological systems; Biology computing; Cells (biology); Costs; Ecosystems; Immune system; Nervous system; Systems biology; Cellerator; Sigmoid; UML; bioinformatics; cell modeling; computer algebra; generative software; intelligent middleware; pathway; systems biology;
fLanguage
English
Journal_Title
Intelligent Systems, IEEE
Publisher
ieee
ISSN
1541-1672
Type
jour
DOI
10.1109/MIS.2005.51
Filename
1439482
Link To Document