Abstract
Data does not appear to be in short supply in contemporary biology. The development of high-throughput technologies, in particular, has generated massive amounts of information. While these technologies produce information about the chemistry of a system, as with the sequence and structure databases, the biological status of the organism is often of little importance.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
REFERENCES
Alon, U., Surette, M. G., Barkai, N., and Leibler, S. 1999. Robustness in bacterial chemotaxis. Nature 397: 168–171.
Bar-Joseph, Z., Gerber, G. K., Lee, T. I., Rinaldi, N. J., Yoo, J. Y., Robert, F., Gordon, D. B., Fraenkel, E., Jaakkola, T. S., Young, R. A., and Gifford, D. K. 2003. Computational discovery of gene modules and regulatory networks. Nat Biotechnol 21: 1337–1342.
Bolstad, B. M., Irizarry, R. A., Astrand, M., and Speed, T. P. 2003. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics 19: 185–193.
Carlson, J. M., and Doyle, J. 2002. Complexity and robustness. Proc Natl Acad Sci U S A 99 Suppl 1: 2538–2545.
Gunawan, R., Cao, Y., Petzold, L., and Doyle, F. J., 3rd. 2005. Sensitivity analysis of discrete stochastic systems. Biophys J 88: 2530–2540.
Hastie, T., and Tibshirani, R. 2004. Efficient quadratic regularization for expression arrays. Biostatistics 5: 329–340.
Hirai, M. Y., Klein, M., Fujikawa, Y., Yano, M., Goodenowe, D. B., Yamazaki, Y., Kanaya, S., Nakamura, Y., Kitayama, M., Suzuki, H., et al. 2005. Elucidation of gene-to-gene and metabolite-to-gene networks in Arabidopsis by integration of metabolomics and transcriptomics. J Biol Chem 280: 25590–25595.
Kitano, H. 2002. Systems biology: a brief overview. Science 295: 1662–1664.
Lanckriet, G. R., De Bie, T., Cristianini, N., Jordan, M. I., and Noble, W. S. 2004. A statistical framework for genomic data fusion. Bioinformatics 20: 2626–2635.
Lee, E., Salic, A., Kruger, R., Heinrich, R., and Kirschner, M. W. 2003. The roles of APC and Axin derived from experimental and theoretical analysis of the Wnt pathway. PLoS Biol 1: E10.
Mori, H. 2004. From the sequence to cell modeling: comprehensive functional genomics in Escherichia coli. J Biochem Mol Biol 37: 83–92.
Rao, C. V., Frenklach, M., and Arkin, A. P. 2004. An allosteric model for transmembrane signaling in bacterial chemotaxis. J Mol Biol 343: 291–303.
Segal, E., Shapira, M., Regev, A., Pe'er, D., Botstein, D., Koller, D., and Friedman, N. 2003. Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data. Nat Genet 34: 166–176.
Ueda, H. R., Hayashi, S., Chen, W., Sano, M., Machida, M., Shigeyoshi, Y., Iino, M., and Hashimoto, S. 2005. System-level identification of transcriptional circuits underlying mammalian circadian clocks. Nat Genet 37: 187–192.
Wiley, H. S., Shvartsman, S. Y., and Lauffenburger, D. A. 2003. Computational modeling of the EGF-receptor system: a paradigm for systems biology. Trends Cell Biol 13: 43–50.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer
About this chapter
Cite this chapter
Katagiri, F., Arkin, A. (2007). Data and Databases. In: CASSMAN, M., ARKIN, A., DOYLE, F., KATAGIRI, F., LAUFFENBURGER, D., STOKES, C. (eds) Systems Biology. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5468-6_2
Download citation
DOI: https://doi.org/10.1007/978-1-4020-5468-6_2
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-5467-9
Online ISBN: 978-1-4020-5468-6
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)