Toward computational systems biology.
The development and successful application of high-throughput technologies are transforming biological research. The large quantities of data being generated by these technologies have led to the emergence of systems biology, which emphasizes large-scale, parallel characterization of biological systems and integration of fragmentary information into a coherent whole. Complementing the reductionist approach that has dominated biology for the last century, mathematical modeling is becoming a powerful tool to achieve an integrated understanding of complex biological systems and to guide experimental efforts of engineering biological systems for practical applications. Here I give an overview of current mainstream approaches in modeling biological systems, highlight specific applications of modeling in various settings, and point out future research opportunities and challenges.
Duke Scholars
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- Systems Biology
- Models, Biological
- Humans
- Gene Expression Regulation
- Gene Expression Profiling
- Computer Simulation
- Computational Biology
- Cell Physiological Phenomena
- Biochemistry & Molecular Biology
- Animals
Citation
Published In
DOI
EISSN
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Systems Biology
- Models, Biological
- Humans
- Gene Expression Regulation
- Gene Expression Profiling
- Computer Simulation
- Computational Biology
- Cell Physiological Phenomena
- Biochemistry & Molecular Biology
- Animals