References
- Csete, M. and J. Doyle (2002) Reverse engineering of biological complexity. Science 295: 1664-1669 https://doi.org/10.1126/science.1069981
- Kitano, H. (2002) Systems biology: a brief overview. Science 295: 1662-1664 https://doi.org/10.1126/science.1069492
- International Human Genome Sequencing Consortium (2004) Finishing the euchromatic sequence of the human genome. Nature 431: 931-945 https://doi.org/10.1038/nature03001
- Nam, J. W., K. H. Han, E. S. Yoon, D. I. Shin, J. H. Jin, D. H. Lee, S. Y. Lee, and J. W. Lee (2004) In silico analysis of lactate producing metabolic network in Lactococcus lactis. Enzyme Microb. Technol. 35: 654-662 https://doi.org/10.1016/j.enzmictec.2004.08.032
- Jin, J. H, U. S. Jung, J. W. Nam, Y. H. In, S. Y. Lee, D. H. Lee, and J. W. Lee (2005) Construction of comprehensive metabolic network for glycolysis with regulation mechanisms and effectors. J. Microbiol. Biotechnol. 15: 161-174
- Di Bernardo, D., M. J. Thompson, T. S. Gardner, S. E. Chobot, E. L. Eastwood, A. P. Wojtovich, S. J. Elliott, S. E. Schaus, and J. J. Collins (2005) Chemogenomic profiling on a genome-wide scale using reverse-engineered gene networks. Nat. Biotechnol. 23: 377-383 https://doi.org/10.1038/nbt1075
- Kim, W., K. C. Kim, E. K. Hong, and D. Lee (2000) A component-based architecture for preparing data in data warehousing. J. Obj. Oriented Prog. 13: 43-47
- Web Services Activity (2002) http://www.w3c.org/2002/ws
- Arkin, A., P. D. Shen, and J. Ross (1997) A test case of correlation metric construction of a reaction pathway from measurements. Science 277: 1275-1279 https://doi.org/10.1126/science.277.5330.1275
- Weaver, D. C., C. T. Workman, and G. D. Stormo (1999) Modeling regulatory networks with weight matrices. Proc. Pac. Symp. Biocomput. 112-123
- Akutsu, T., S. Miyano, and S. Kuhara (2000) Algorithms for inferring qualitative models of biological networks. Proc. Pac. Symp. Biocomput. 293-304
- Lee, D. Y., H. Yun, S. Park, and S. Y. Lee (2003) Meta-FluxNet: the management of metabolic reaction information and quantitative metabolic flux analysis. Bioinformatics 19: 2144-2146 https://doi.org/10.1093/bioinformatics/btg271
- Liang, S., S. Fuhrman, and R. Somogyi (1998) REVEAL, a general reverse engineering algorithm for inference of genetic network architectures. Proc. Pac. Symp. Biocomput. 18-29
- Akutsu, T., S. Miyano, and S. Kuhara (1999) Identification of genetic networks from a small number of gene expression patterns under the Boolean network model. Proc. Pac. Symp. Biocomput. 17-28
- Kauffman, S. A. (1969) Metabolic stability and epigenesist in randomly constructed genetic nets. J. Theor. Biol. 22: 437-467 https://doi.org/10.1016/0022-5193(69)90015-0
- N. Friedman, M. Linial, I. Nachaman, and D. Pe'er (2000) Using Bayesian networks to analyze expression data, J. Comp. Biol., 7: 601-620 https://doi.org/10.1089/106652700750050961
- Hartemink, A. J., D. K, Gifford, T. S. Jaakkola, and R. A. Young (2002) Combining location and expression data for principled discovery of genetic regulatory network models. Proc. Pac. Symp. Biocomput. 437-449
- Tamada, Y., S. Kim, H. Bannai, S. Imoto, K. Tashiro, S. Kuhara, and S. Miyano (2003) Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection. Bioinformatics 19(S2): II227- II236 https://doi.org/10.1093/bioinformatics/btg1082
- Pe'er, D., A. Regev, G. Elidan, and N. Friedman (2001) Inferring subnetworks from perturbed expression profiles. Bioinformatics 17(S1): S215-S224 https://doi.org/10.1093/bioinformatics/17.suppl_1.S215
- Yoo, C., V. Thorsson, and G. F. Cooper (2000) Discovery of causal relationships in a gene regulation pathway from a mixture of experimental and observational DNA microarray data. Proc. Pac. Symp. Biocomput. 498-509
- Lee, P. H. and D. H. Lee (2005) Modularized learning of genetic interaction networks from biological annotations and MRNA expression data. Bioinformatics 21: 2739-2747 https://doi.org/10.1093/bioinformatics/bti406
- Segal, E., M. Shapira, A. Regev, D. Peer, D. Botstein, D. Koller, and N. Friedman (2003) Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data. Nat. Genet. 34: 166-176 https://doi.org/10.1038/ng1165
- Phuong, T. M., D. Lee, and K. H. Lee (2004) Regression trees for regulatory element identification. Bioinformatics 20: 750-757 https://doi.org/10.1093/bioinformatics/btg480
- Voit, E. (2000) Computational analysis of biochemical systems, Cambridge Univ. Press
- De Jong, H., J. Geiselmann, C. Hernandez, and M. Page (2003) Genetic network analyzer: qualitative simulation of genetic regulatory networks. Bioinformatics 19: 336-344 https://doi.org/10.1093/bioinformatics/btf851
- Goss, P. J. and J. Peccoud (1998) Quantitative modeling of stochastic systems in molecular biology by using stochastic Petri nets. Proc. Natl. Acad. Sci. USA 95: 6750-6755 https://doi.org/10.1073/pnas.95.12.6750
- Peleg, M., I. Yeh, and R. B. Altman (2002) Modeling biological processes using workflow and Petri Net models. Bioinformatics 18: 825-837 https://doi.org/10.1093/bioinformatics/18.6.825
- Kauffman, S. A. (1991) Antichaos and adaptation. Sci. Am. 265: 78-84 https://doi.org/10.1038/scientificamerican0891-78
- Kauffman, S. A. (1993) The Origins of Order: Self- Organization and Selection in Evolution. Oxford University Press, Oxford, UK
- Thomas, R. (1991) Regulatory networks seen as asynchronous automata: A logical description. J. Theor. Biol. 153: 1-23 https://doi.org/10.1016/S0022-5193(05)80350-9
- Shimulevich, I., E. R. Dougherty, S. Kim, and W. Zhang (2002) Probabilistic Boolean Networks: a rule-based uncertainty model for gene regulatory networks. Bioinformatics 18: 261-274 https://doi.org/10.1093/bioinformatics/18.2.261
- Brutlag, D. L., A. R. Galper, and D. H. Millis (1991) Knowledge-based simulation of DNA metabolism: prediction of enzyme action. Comput. Appl. Biosci. 7: 9-19
- Hofestadt, R. and F. Meineke (1995) Interactive modelling and simulation of biochemical networks. Comput. Biol. Med. 25: 321-334 https://doi.org/10.1016/0010-4825(95)00019-Z
- Fukuda, K. and T. Takagi (2001) Knowledge representation of signal transduction pathways. Bioinformatics 17: 829-837 https://doi.org/10.1093/bioinformatics/17.9.829
- Mendes, P. (1997) Biochemistry by numbers: simulation of biochemical pathways with Gepasi 3. Trends Biochem. Sci. 22: 361-363 https://doi.org/10.1016/S0968-0004(97)01103-1
- Tomita, M., K. Hashimoto, K. Takahashi, T. S. Shimizu, Y. Matsuzaki, F. Miyoshi, K. Saito, S. Tanida, K. Yugi, J. C. Venter, and C. A. 3rd. Hutchison (1999) E-Cell: software environment for whole-cell simulation. Bioinformatics 15: 72-84 https://doi.org/10.1093/bioinformatics/15.1.72
- Shapiro, B. and E. Mjolsness (2001) Developmental Simulations with Cellerator. Proc. Second International Conference on Systems Biology, Pasadena, CA, USA
- Schaff, J. and L. M. Loew (1999) The Virtual Cell, Pac. Symp. Biocomput. 228-239
- Loew, L. M. and J. Schaff (2001) The Virtual Cell: A Software Environment for Computational Cell Biology, Trends Biotechnol. 19: 401-406 https://doi.org/10.1016/S0167-7799(01)01740-1
- Hucka, M., A. Finney, H. M, Sauro, H. Bolouri, J. Doyle, and H. Kitano (2002) The ERATO Systems Biology Workbench: enabling interaction and exchange between software tools for computational biology. Proc. Pac. Symp. Biocomput. 450-461
- Shannon, P., A. Markiel, O. Ozier, N. S. Baliga, J. T. Wang, D. Ramage, N. Amin, B. Schwikowski, and T. Ideker (2003) Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 13: 2498-2504 https://doi.org/10.1101/gr.1239303
- Nagasaki, M., A. Doi, H. Matsuno, and S. Miyano (2003) Genomic Object Net: A platform for modelling and simulating biopathways. Appl. Bioinformatics 2: 181-184
- Hucka, M, A. Finney, H. M. Sauro, H. Bolouri, J. C. Doyle, H. Kitano, A. P. Arkin, B. J. Bornstein, D. Bray, A. Cornish-Bowden, A. A. Cuellar, S. Dronov, E. D. Gilles, M. Ginkel, V. Gor, I. I. Goryanin, W. J. Hedley, T. C. Hodgman, J. H. Hofmeyr, P. J. Hunter, N. S. Juty, J. L. Kasberger, A. Kremling, U. Kummer, N. Le Novere, L. M. Loew, D. Lucio, P. Mendes, E. Minch, E. D. Mjolsness, Y. Nakayama, M. R. Nelson, P. F. Nielsen, T. Sakurada, J. C. Schaff, B. E. Shapiro, T. S. Shimizu, H. D. Spence, J. Stelling, K. Takahashi, M. Tomita, J. Wagner, and J. Wang (2003) The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinformatics 19: 524-531 https://doi.org/10.1093/bioinformatics/btg015
- Yun, H., D. Y. Lee, J. Jeong, S. Lee, and S. Y. Lee (2005) MFAML: a standard data structure for representing and exchanging metabolic flux models. Bioinformatics 21: 3329-3330 https://doi.org/10.1093/bioinformatics/bti502