CLB1/YGR108W Literature Guide Help

Other names published for CLB1: SCB1, YGR108W

CLB1 - Computational analysis (24)

ReferenceOther Genes Addressed
Hancioglu B and Tyson JJ  (2012) A mathematical model of mitotic exit in budding yeast: the role of polo kinase. PLoS One 7(2):e30810
Thompson EG and Galitski T  (2012) Quantifying and analyzing the network basis of genetic complexity. PLoS Comput Biol 8(7):e1002583
Barberis M, et al.  (2011) Sic1 plays a role in timing and oscillatory behaviour of B-type cyclins. Biotechnol Adv 30(1):108-30
Gallo CA, et al.  (2011) Discovering Time-Lagged Rules from Microarray Data using Gene Profile Classifiers. BMC Bioinformatics 12(1):123
Gormley M, et al.  (2011) An integrated framework to model cellular phenotype as a component of biochemical networks. Adv Bioinformatics 2011():608295
Higa CH, et al.  (2011) Constraint-based analysis of gene interactions using restricted boolean networks and time-series data. BMC Proc 5 Suppl 2():S5
Verdicchio MP and Kim S  (2011) Identifying targets for intervention by analyzing basins of attraction. Pac Symp Biocomput ():350-61
Vohradska E and Vohradsky J  (2011) Virtual mutagenesis of the yeast cyclins genetic network reveals complex dynamics of transcriptional control networks. PLoS One 6(4):e18827
Perkins TJ, et al.  (2010) Robust dynamics in minimal hybrid models of genetic networks. Philos Transact A Math Phys Eng Sci 368(1930):4961-75
To CC and Vohradsky J  (2010) Measurement variation determines the gene network topology reconstructed from experimental data: a case study of the yeast cyclin network. FASEB J 24(9):3468-78
Wang G, et al.  (2010) Process-based network decomposition reveals backbone motif structure. Proc Natl Acad Sci U S A 107(23):10478-83
Ay F, et al.  (2009) Scalable steady state analysis of boolean biological regulatory networks. PLoS One 4(12):e7992
Faure A, et al.  (2009) Modular logical modelling of the budding yeast cell cycle. Mol Biosyst 5(12):1787-96
Kar S, et al.  (2009) Exploring the roles of noise in the eukaryotic cell cycle. Proc Natl Acad Sci U S A 106(16):6471-6
Lyu S  (2009) Combining boolean method with delay times for determining behaviors of biological networks. Conf Proc IEEE Eng Med Biol Soc 1():4884-7
Shmulevich I and Aitchison JD  (2009) Deterministic and stochastic models of genetic regulatory networks. Methods Enzymol 467():335-56
Braunewell S and Bornholdt S  (2007) Superstability of the yeast cell-cycle dynamics: Ensuring causality in the presence of biochemical stochasticity. J Theor Biol 245(4):638-43
Lau KY, et al.  (2007) Function constrains network architecture and dynamics: a case study on the yeast cell cycle Boolean network. Phys Rev E Stat Nonlin Soft Matter Phys 75(5 Pt 1):051907
Okabe Y and Sasai M  (2007) Stable stochastic dynamics in yeast cell cycle. Biophys J 93(10):3451-9
Rowicka M, et al.  (2007) High-resolution timing of cell cycle-regulated gene expression. Proc Natl Acad Sci U S A 104(43):16892-7
Kreiman G  (2004) Identification of sparsely distributed clusters of cis-regulatory elements in sets of co-expressed genes. Nucleic Acids Res 32(9):2889-900
Imoto S, et al.  (2003) Combining microarrays and biological knowledge for estimating gene networks via Bayesian networks. Proc IEEE Comput Soc Bioinform Conf 2():104-13
Syeda-Mahmood T  (2003) Clustering time-varying gene expression profiles using scale-space signals. Proc IEEE Comput Soc Bioinform Conf 2():48-56
Tyson JJ and Novak B  (2001) Regulation of the eukaryotic cell cycle: molecular antagonism, hysteresis, and irreversible transitions. J Theor Biol 210(2):249-63