CDC45/YLR103C Literature Guide Help

Other names published for CDC45: SLD4, YLR103C

CDC45 - Computational analysis (9)

ReferenceOther Genes Addressed
Gidvani RD, et al.  (2012) A quantitative model of the initiation of DNA replication in Saccharomyces cerevisiae predicts the effects of system perturbations. BMC Syst Biol 6(1):78
Dawy Z, et al.  (2011) A multiorganism based method for Bayesian gene network estimation. Biosystems 103(3):425-34
Aucher W, et al.  (2010) A Strategy for Interaction Site Prediction between Phospho-binding Modules and their Partners Identified from Proteomic Data. Mol Cell Proteomics 9(12):2745-59
Looke M, et al.  (2010) Relicensing of transcriptionally inactivated replication origins in budding yeast. J Biol Chem 285(51):40004-11
On T, et al.  (2010) The evolutionary landscape of the chromatin modification machinery reveals lineage specific gains, expansions, and losses. Proteins 78(9):2075-89
Nguyen Ba AN, et al.  (2009) NLStradamus: a simple Hidden Markov Model for nuclear localization signal prediction. BMC Bioinformatics 10:202
Larsen P, et al.  (2007) A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microarray experiments. BMC Bioinformatics 8:317
Buck MJ and Lieb JD  (2006) A chromatin-mediated mechanism for specification of conditional transcription factor targets. Nat Genet 38(12):1446-51
Syeda-Mahmood T  (2003) Clustering time-varying gene expression profiles using scale-space signals. Proc IEEE Comput Soc Bioinform Conf 2():48-56