A scalable and integrative system for pathway bioinformatics and systems biology.
BACKGROUND
Progress in systems biology depends on developing scalable informatics tools to predictively model, visualize, and flexibly store information about complex biological systems. Scalability of these tools, as well as their ability to integrate within larger frameworks of evolving tools, is critical to address the multi-scale and size complexity of biological systems.


RESULTS
Using current software technology, such as self-generation of database and object code from UML schemas, facilitates rapid updating of a scalable expert assistance system for modeling biological pathways. Distribution of key components along with connectivity to external data sources and analysis tools is achieved via a web service interface.


BACKGROUND
All sigmoid modeling software components and supplementary information are available through: http://www.igb.uci.edu/servers/sb.html.
Compani
Behnam
B
Institute for Genomics and Bioinformatics, University of California, Irvine, CA 92697, USA.
Su
Trent
T
Chang
Ivan
I
Cheng
Jianlin
J
Shah
Kandarp H
KH
Whisenant
Thomas
T
Dou
Yimeng
Y
Bergmann
Adriel
A
Cheong
Raymond
R
Wold
Barbara
B
Bardwell
Lee
L
Levchenko
Andre
A
Baldi
Pierre
P
Mjolsness
Eric
E
D019295:Computational Biology; D003195:Computer Communication Networks; D003198:Computer Simulation; D016208:Databases, Factual; D005103:Expert Systems; D020407:Internet; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D015398:Signal Transduction; D012984:Software; D049490:Systems Biology / Q000706:statistics & numerical data*; D014584:User-Computer Interface