Computational Systems BiologyEdited by
- Andres Kriete, Drexel University, Philadelphia, PA and Coriell Institute for Medical Research, Camden, NJ, USA
- Roland Eils, Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, and Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology, University of Heidelberg, Germany
Graduate students and researchers in Bioinformatics, Biocomputing, Theoretical Biology, Biochemistry/Biophysics, and Cell Biology.
Hardbound, 424 Pages
Published: October 2005
Imprint: Academic Press
- CONTENT1. Introducing Computational Systems Biology. A Kriete and R EilsI. Enabling Information and Integration Technologies for Systems Biology: 2. Databases for Systems Biology. J Eils, C Lawerenz, K Astrahantseff, M Ginkel, and R EilsNatural Language Processing and Ontology-enhanced Biomedical Literature Mining for Systems Biology. X HuIntegrated Imaging Informatics. B Parvin, G Fontenay, Q Yang, and MH Barcellos-HoffSimpathica: A Computational Systems Biology Tool within the Valis Bioinformatics Environment. B Mishra, M Antoniotti, S Paxia and N UgelStandards, Platforms and Applications. HM SauroII. Foundations of Biochemical Network Analysis and Modeling7. Introduction to Computational Models of Biochemical Reaction Networks. FJ Bruggeman, BM Bakker, JJ Hornberg, and HV Westerhoff8. Biological Foundations of Signal Transduction and the Systems Biology Perspective. U Klingmüller9. Reconstruction of Metabolic Network from Genome Information and Its Structural and Functional Analysis. H-W Ma and A-P Zeng10. Integrated Regulatory and Metabolic Models. M.W. CovertIII. Computer Simulations of Dynamic Networks11. A Discrete Approach to Network Modeling. R Laubenbacher and P Mendes12. Gene Networks: Estimation, Modeling and Simulation. S Imoto, H Matsuno, and S Miyano13. Computational models for circadian rhythms: Deterministic versus stochastic approaches. J-C Leloup, D Gonze, and A GoldbeterIV. Multi-Scale Representations of Cells and Emerging Phenotypes14. Multistability and Multicellularity: Cell Fates as High-dimensional Attractors of Gene Regulatory Networks. S Huang15. Spatio-Temporal Systems Biology. A Ghosh, D Miller, R Zou, B Sokhansanj,and A Kriete16. Cytomicsfrom cell states to predictive medicine. G Valet, RF Murphy, JP Robinson, A Tárnok, A Kriete17. The IUPS Physiome Project: Progress and Plans. P Hunter, K Burrowes, J Fernandez, P Nielsen,N Smith, and M TawhaiSubject Index