NRG1/YDR043C Literature Guide Help

Other names published for NRG1: YDR043C

NRG1 - Computational analysis (24)

ReferenceOther Genes Addressed
Casamayor A, et al.  (2012) The role of the Snf1 kinase in the adaptive response of Saccharomyces cerevisiae to alkaline pH stress. Biochem J 444(1):39-49
Geijer C, et al.  (2012) Time course gene expression profiling of yeast spore germination reveals a network of transcription factors orchestrating the global response. BMC Genomics 13(1):554
Mira NP, et al.  (2012) Characterization of complex regulatory networks and identification of promoter regulatory elements in yeast: "in silico" and "wet-lab" approaches. Methods Mol Biol 809():27-48
Contador CA, et al.  (2011) Identification of transcription factors perturbed by the synthesis of high levels of a foreign protein in yeast saccharomyces cerevisiae. Biotechnol Prog 27(4):925-36
Gordan R, et al.  (2011) Curated collection of yeast transcription factor DNA binding specificity data reveals novel structural and gene regulatory insights. Genome Biol 12(12):R125
Babbitt GA  (2010) Relaxed selection against accidental binding of transcription factors with conserved chromatin contexts. Gene 466(1-2):43-8
Goh WS, et al.  (2010) Blurring of high-resolution data shows that the effect of intrinsic nucleosome occupancy on transcription factor binding is mostly regional, not local. PLoS Comput Biol 6(1):e1000649
Chen T and Li F  (2009) Identifying cell cycle regulators and combinatorial interactions among transcription factors with microarray data and ChIP-chip data. Int J Bioinform Res Appl 5(6):625-46
Jothi R, et al.  (2009) Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture. Mol Syst Biol 5:294
Mak HC, et al.  (2009) Dynamic reprogramming of transcription factors to and from the subtelomere. Genome Res 19(6):1014-25
Song M, et al.  (2009) Discrete dynamical system modelling for gene regulatory networks of 5-hydroxymethylfurfural tolerance for ethanologenic yeast. IET Syst Biol 3(3):203
Boorsma A, et al.  (2008) Inferring Condition-Specific Modulation of Transcription Factor Activity in Yeast through Regulon-Based Analysis of Genomewide Expression. PLoS ONE 3(9):e3112
Kundaje A, et al.  (2008) A predictive model of the oxygen and heme regulatory network in yeast. PLoS Comput Biol 4(11):e1000224
Lu CC, et al.  (2008) Extracting transcription factor binding sites from unaligned gene sequences with statistical models. BMC Bioinformatics 9 Suppl 12:S7
Sun W, et al.  (2007) Detection of eQTL modules mediated by activity levels of transcription factors. Bioinformatics 23(17):2290-7
Buck MJ and Lieb JD  (2006) A chromatin-mediated mechanism for specification of conditional transcription factor targets. Nat Genet 38(12):1446-51
Galbraith SJ, et al.  (2006) Transcriptome network component analysis with limited microarray data. Bioinformatics 22(15):1886-94
Hart CE, et al.  (2006) Connectivity in the yeast cell cycle transcription network: inferences from neural networks. PLoS Comput Biol 2(12):e169
Kundaje A, et al.  (2006) A classification-based framework for predicting and analyzing gene regulatory response. BMC Bioinformatics 7 Suppl 1():S5
Stanley SM, et al.  (2006) GONOME: measuring correlations between GO terms and genomic positions. BMC Bioinformatics 7():94
Wu WS, et al.  (2006) Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle. BMC Bioinformatics 7(1):421
Yu H and Gerstein M  (2006) Genomic analysis of the hierarchical structure of regulatory networks. Proc Natl Acad Sci U S A 103(40):14724-31
Petti AA and Church GM  (2005) A network of transcriptionally coordinated functional modules in Saccharomyces cerevisiae. Genome Res 15(9):1298-306
Luscombe NM, et al.  (2004) Genomic analysis of regulatory network dynamics reveals large topological changes. Nature 431(7006):308-12