GAL80/YML051W Literature Guide Help

Other names published for GAL80: YML051W

GAL80 - Computational analysis (27)

ReferenceOther Genes Addressed
Charoensawan V, et al.  (2012) DNA sequence preferences of transcriptional activators correlate more strongly than repressors with nucleosomes. Mol Cell 47(2):183-92
Grzegorczyk M and Husmeier D  (2012) A non-homogeneous dynamic bayesian network with sequentially coupled interaction parameters for applications in systems and synthetic biology.LID - 10.1515/1544-6115.1761 [doi]LID - /j/sagmb.2012.11.issue-4/1544-6115.1761/1544-6115.1761.xml [pii] Stat Appl Genet Mol Biol 11(4)
Klarner H, et al.  (2012) Time series dependent analysis of unparametrized Thomas networks. IEEE/ACM Trans Comput Biol Bioinform 9(5):1338-51
Pannala VR, et al.  (2012) Growth-related model of the GAL system in Saccharomyces cerevisiae predicts behaviour of several mutant strains. IET Syst Biol 6(2):44-53
Venturelli OS, et al.  (2012) Synergistic dual positive feedback loops established by molecular sequestration generate robust bimodal response. Proc Natl Acad Sci U S A 109(48):E3324-33
Vinh NX, et al.  (2012) Issues impacting genetic network reverse engineering algorithm validation using small networks. Biochim Biophys Acta 1824(12):1434-41
di Bernardo D, et al.  (2012) Predicting synthetic gene networks. Methods Mol Biol 813():57-81
Aburatani S  (2011) Application of structure equation modeling for inferring a serial transcriptional regulation in yeast. Gene Regul Syst Bio 5():75-88
Marucci L, et al.  (2011) Derivation, identification and validation of a computational model of a novel synthetic regulatory network in yeast. J Math Biol 62(5):685-706
Pannala VR, et al.  (2011) Dynamic analysis of the KlGAL regulatory system in Kluyveromyces lactis: a comparative study with Saccharomyces cerevisiae. Syst Synth Biol 5(1-2):69-85
Phenix H, et al.  (2011) Quantitative epistasis analysis and pathway inference from genetic interaction data. PLoS Comput Biol 7(5):e1002048
Yang R, et al.  (2011) External Control of the GAL Network in S. cerevisiae: A View from Control Theory. PLoS One 6(4):e19353
Kulkarni VV, et al.  (2010) Stability analysis of the GAL regulatory network in Saccharomyces cerevisiae and Kluyveromyces lactis. BMC Bioinformatics 11 Suppl 1():S43
Pannala VR, et al.  (2010) Experimental and steady-state analysis of the GAL regulatory system in Kluyveromyces lactis. FEBS J 277(14):2987-3002
Sharma A and Malakar P  (2010) Structure modeling and comparative genomics for epimerase enzyme (Gal10p). Bioinformation 5(6):266-70
Cantone I, et al.  (2009) A yeast synthetic network for in vivo assessment of reverse-engineering and modeling approaches. Cell 137(1):172-81
Marucci L, et al.  (2009) How to turn a genetic circuit into a synthetic tunable oscillator, or a bistable switch. PLoS One 4(12):e8083
Segre AV, et al.  (2006) High-resolution mutation mapping reveals parallel experimental evolution in yeast. PLoS Biol 4(8):e256
Smidtas S, et al.  (2006) Model of interactions in biology and application to heterogeneous network in yeast. C R Biol 329(12):945-52
Smidtas S, et al.  (2006) The adaptive filter of the yeast galactose pathway. J Theor Biol 242(2):372-81
Scott MS, et al.  (2005) Identifying regulatory subnetworks for a set of genes. Mol Cell Proteomics 4(5):683-92
Siddharthan R, et al.  (2005) PhyloGibbs: a Gibbs sampling motif finder that incorporates phylogeny. PLoS Comput Biol 1(7):e67
Racunas SA, et al.  (2004) HyBrow: a prototype system for computer-aided hypothesis evaluation. Bioinformatics 20 Suppl 1:I257-I264
Tanay A, et al.  (2004) A global view of the selection forces in the evolution of yeast cis-regulation. Genome Res 14(5):829-34
Gao J, et al.  (2003) Changes in the protein expression of yeast as a function of carbon source. J Proteome Res 2(6):643-9
Gat-Viks I and Shamir R  (2003) Chain functions and scoring functions in genetic networks. Bioinformatics 19 Suppl 1:i108-17
Ideker T, et al.  (2000) Testing for differentially-expressed genes by maximum-likelihood analysis of microarray data. J Comput Biol 7(6):805-17