Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
E. Andrianantoandro, S. Basu, D.K. Karig, and R. Weiss. Synthetic biology: new engineering rules for an emerging discipline. Mol Syst Biol, 2: 2006–2006, 2006.
M.A. Beer and S. Tavazoie. Predicting gene expression from sequence. Cell, 117(2): 185–198, 2004.
L. Bintu, N.E. Buchler, H.G. Garcia, U. Gerland, T. Hwa, J. Kondev, T. Kuhlman, and R. Phillips. Transcriptional regulation by the numbers: applications. Curr Opin Genet Dev, 15(2): 125–135, 2005. Chromosomes and expression mechanisms.
L. Bintu, N.E. Buchler, H.G. Garcia, U. Gerland, T. Hwa, J. Kondev, and R. Phillips. Transcriptional regulation by the numbers: models. Curr Opin Gen Dev, 15(2): 116–124, 2005.
N.E. Buchler, U. Gerland, and T. Hwa. On schemes of combinatorial transcription logic. Proc Natl Acad Sci USA, 100(9): 5136–5141, 2003.
C.C. Chen and S. Zhong. Inferring gene regulatory networks by thermodynamic modeling. BMC Genomics, 9(2) (2008).
C.C. Chen, X.G. Zhu, and S. Zhong. Selection of thermodynamic models for combinatorial control of multiple transcription factors in early differentiation of embryonic stem cells. BMC Genomics, 9(1) (2008).
S. Fessele, H. Maier, C. Zischek, P.J. Nelson, and T. Werner. Regulatory context is a crucial part of gene function. Trends Genet, 18(2): 60–63, 2002.
J. Gertz, E.D. Siggia, and B.A. Cohen. Analysis of combinatorial cis-regulation in synthetic and genomic promoters. Nature, 457(7226): 215–218, 2009.
A.D. Peel, A.D. Chipman, and M. Akam. Arthropod segmentation: beyond the drosophila paradigm. Nat Rev Genet, 6(12): 905–916, 2005.
E. Segal, T. Raveh-Sadka, M. Schroeder, U. Unnerstall, and U. Gaul. Predicting expression patterns from regulatory sequence in drosophila segmentation. Nature, 451(7178): 535–540, 2008.
M.A. Shea and G.K. Ackers. The OR control system of bacteriophage lambda. A physical-chemical model for gene regulation. J Mol Biol, 181(2): 211–230, 1985.
M. Venter. Synthetic promoters: genetic control through cis engineering. Trends Plant Sci, 12(3): 118–124, 2007.
T. Werner, S. Fessele, H. Maier, and P.J. Nelson. Computer modeling of promoter organization as a tool to study transcriptional coregulation. FASEB J, 17(10): 1228–1237, 2003.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag London Limited
About this chapter
Cite this chapter
Chen, CC., Zhong, S. (2010). Analysis of Combinatorial Gene Regulation with Thermodynamic Models. In: Feng, J., Fu, W., Sun, F. (eds) Frontiers in Computational and Systems Biology. Computational Biology, vol 15. Springer, London. https://doi.org/10.1007/978-1-84996-196-7_1
Download citation
DOI: https://doi.org/10.1007/978-1-84996-196-7_1
Publisher Name: Springer, London
Print ISBN: 978-1-84996-195-0
Online ISBN: 978-1-84996-196-7
eBook Packages: Computer ScienceComputer Science (R0)