Design and Architecture of Web Services for Simulation of Biochemical Systems
DILS '09 Proceedings of the 6th International Workshop on Data Integration in the Life Sciences
Bioinformatics
SILACanalyzer: a tool for differential quantitation of stable isotope derived data
CIBB'09 Proceedings of the 6th international conference on Computational intelligence methods for bioinformatics and biostatistics
Workflows for information integration in the life sciences
Search computing
| Hi-index | 0.00 |
Systems biology develops mathematical models of biological systems that seek to explain, or better still predict, how the system behaves. In bottom-up systems biology, systematic quantitative experimentation is carried out to obtain the data required to parameterize models, which can then be analyzed and simulated. This paper describes an approach to integrated information management that supports bottom-up systems biology, with a view to automating, or at least minimizing the manual effort required during, creation of quantitative models from qualitative models and experimental data. Automating the process makes model construction more systematic, supports good practice at all stages in the pipeline, and allows timely integration of high throughput experimental results into models.