SWI5/YDR146C Literature Guide Help

Other names published for SWI5: YDR146C

SWI5 - Regulatory Role (61)

Results: 1 - 30 of 61 records
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ReferenceOther Genes Addressed
Vinh NX, et al.  (2012) Issues impacting genetic network reverse engineering algorithm validation using small networks. Biochim Biophys Acta 1824(12):1434-41
Vohradsky J  (2012) Stochastic simulation for the inference of transcriptional control network of yeast cyclins genes. Nucleic Acids Res 40(15):7096-103
Cocklin R, et al.  (2011) New insight into the role of the Cdc34 ubiquitin-conjugating enzyme in cell cycle regulation via Ace2 and Sic1. Genetics 187(3):701-15
Tuglus C and van der Laan MJ  (2011) Repeated measures semiparametric regression using targeted maximum likelihood methodology with application to transcription factor activity discovery. Stat Appl Genet Mol Biol 10(1):Article2
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
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
Di Talia S, et al.  (2009) Daughter-specific transcription factors regulate cell size control in budding yeast. PLoS Biol 7(10):e1000221
Seifert M, et al.  (2009) Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip data. Bioinformatics 25(16):2118-25
Ye C, et al.  (2009) Using network component analysis to dissect regulatory networks mediated by transcription factors in yeast. PLoS Comput Biol 5(3):e1000311
Kundaje A, et al.  (2008) A predictive model of the oxygen and heme regulatory network in yeast. PLoS Comput Biol 4(11):e1000224
Zhao Y, et al.  (2008) Development of a Novel Oligonucleotide Array-Based Transcription Factor Assay Platform for Genome-Wide Active Transcription Factor Profiling in Saccharomyces cerevisiae. J Proteome Res 7(3):1315-1325
Lu Y, et al.  (2007) Combined analysis reveals a core set of cycling genes. Genome Biol 8(7):R146
Sun W, et al.  (2007) Detection of eQTL modules mediated by activity levels of transcription factors. Bioinformatics 23(17):2290-7
Yuan S and Li KC  (2007) Context-dependent clustering for dynamic cellular state modeling of microarray gene expression. Bioinformatics 23(22):3039-47
Hart CE, et al.  (2006) Connectivity in the yeast cell cycle transcription network: inferences from neural networks. PLoS Comput Biol 2(12):e169
Workman CT, et al.  (2006) A systems approach to mapping DNA damage response pathways. Science 312(5776):1054-9
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
Becskei A, et al.  (2005) Contributions of low molecule number and chromosomal positioning to stochastic gene expression. Nat Genet 37(9):937-44
Gardocki ME, et al.  (2005) Genomic analysis of PIS1 gene expression. Eukaryot Cell 4(3):604-14
Hvidsten TR, et al.  (2005) Discovering regulatory binding-site modules using rule-based learning. Genome Res 15(6):856-66
Yang YL, et al.  (2005) Inferring yeast cell cycle regulators and interactions using transcription factor activities. BMC Genomics 6():90
Yu T and Li KC  (2005) Inference of transcriptional regulatory network by two-stage constrained space factor analysis. Bioinformatics 21(21):4033-8
Gunji W, et al.  (2004) Global analysis of the regulatory network structure of gene expression in Saccharomyces cerevisiae. DNA Res 11(3):163-77
Kato M, et al.  (2004) Identifying combinatorial regulation of transcription factors and binding motifs. Genome Biol 5(8):R56
Keles S, et al.  (2004) Regulatory motif finding by logic regression. Bioinformatics 20(16):2799-811
Kelly MT, et al.  (2004) The Candida albicans CaACE2 gene affects morphogenesis, adherence and virulence. Mol Microbiol 53(3):969-83
Luscombe NM, et al.  (2004) Genomic analysis of regulatory network dynamics reveals large topological changes. Nature 431(7006):308-12
Nachman I, et al.  (2004) Inferring quantitative models of regulatory networks from expression data. Bioinformatics 20 Suppl 1:I248-I256
Oki M, et al.  (2004) Barrier proteins remodel and modify chromatin to restrict silenced domains. Mol Cell Biol 24(5):1956-67
Results: 1 - 30 of 61 records
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