MET31/YPL038W Literature Guide Help

Other names published for MET31: YPL038W

MET31 - Computational analysis (20)

ReferenceOther Genes Addressed
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
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
Hong SW, et al.  (2009) Phosphorylation of the RNA polymerase II C-terminal domain by TFIIH kinase is not essential for transcription of Saccharomyces cerevisiae genome. Proc Natl Acad Sci U S A 106(34):14276-80
Jothi R, et al.  (2009) Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture. Mol Syst Biol 5:294
Moxley JF, et al.  (2009) Linking high-resolution metabolic flux phenotypes and transcriptional regulation in yeast modulated by the global regulator Gcn4p. Proc Natl Acad Sci U S A 106(16):6477-82
Wang Y, et al.  (2009) Predicting eukaryotic transcriptional cooperativity by Bayesian network integration of genome-wide data. Nucleic Acids Res 37(18):5943-58
Wu WS and Chen BS  (2009) Identifying Stress Transcription Factors Using Gene Expression and TF-Gene Association Data. Bioinform Biol Insights 1():137-45
Chen G, et al.  (2007) Clustering of genes into regulons using integrated modeling-COGRIM. Genome Biol 8(1):R4
Chua G, et al.  (2006) Identifying transcription factor functions and targets by phenotypic activation. Proc Natl Acad Sci U S A 103(32):12045-50
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
Gonze D, et al.  (2005) Discrimination of yeast genes involved in methionine and phosphate metabolism on the basis of upstream motifs. Bioinformatics 21(17):3490-500
Siddharthan R, et al.  (2005) PhyloGibbs: a Gibbs sampling motif finder that incorporates phylogeny. PLoS Comput Biol 1(7):e67
Yu T and Li KC  (2005) Inference of transcriptional regulatory network by two-stage constrained space factor analysis. Bioinformatics 21(21):4033-8
Haugen AC, et al.  (2004) Integrating phenotypic and expression profiles to map arsenic-response networks. Genome Biol 5(12):R95
Kato M, et al.  (2004) Identifying combinatorial regulation of transcription factors and binding motifs. Genome Biol 5(8):R56
Luscombe NM, et al.  (2004) Genomic analysis of regulatory network dynamics reveals large topological changes. Nature 431(7006):308-12
Middendorf M, et al.  (2004) Predicting genetic regulatory response using classification. Bioinformatics 20 Suppl 1():i232-40
Baudouin-Cornu P, et al.  (2001) Molecular evolution of protein atomic composition. Science 293(5528):297-300