FKH1/YIL131C Literature Guide Help

Other names published for FKH1: YIL131C

FKH1 - Computational analysis (40)

ReferenceOther Genes Addressed
Fernandez MA, et al.  (2012) Identification of a core set of signature cell cycle genes whose relative order of time to peak expression is conserved across species. Nucleic Acids Res 40(7):2823-32
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
Erb I and van Nimwegen E  (2011) Transcription factor binding site positioning in yeast: proximal promoter motifs characterize tata-less promoters. PLoS One 6(9):e24279
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
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
Wang H, et al.  (2011) Yeast cell cycle transcription factors identification by variable selection criteria. Gene 485(2):172-6
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
Lee E and Bussemaker HJ  (2010) Identifying the genetic determinants of transcription factor activity. Mol Syst Biol 6():412
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
To CC and Vohradsky J  (2010) Measurement variation determines the gene network topology reconstructed from experimental data: a case study of the yeast cyclin network. FASEB J 24(9):3468-78
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
Gordan R, et al.  (2009) Distinguishing direct versus indirect transcription factor-DNA interactions. Genome Res 19(11):2090-100
Jothi R, et al.  (2009) Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture. Mol Syst Biol 5:294
Li A and Tuck D  (2009) An effective tri-clustering algorithm combining expression data with gene regulation information. Gene Regul Syst Bio 3:49-64
Swamy KB, et al.  (2009) Impact of DNA-binding position variants on yeast gene expression. Nucleic Acids Res 37(21):6991-7001
Wang Y, et al.  (2009) Predicting eukaryotic transcriptional cooperativity by Bayesian network integration of genome-wide data. Nucleic Acids Res 37(18):5943-58
Xiao Y and Segal MR  (2009) Identification of yeast transcriptional regulation networks using multivariate random forests. PLoS Comput Biol 5(6):e1000414
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
Jonnalagadda S and Srinivasan R  (2008) Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data. BMC Bioinformatics 9:267
Lu CC, et al.  (2008) Extracting transcription factor binding sites from unaligned gene sequences with statistical models. BMC Bioinformatics 9 Suppl 12:S7
Ward LD and Bussemaker HJ  (2008) Predicting functional transcription factor binding through alignment-free and affinity-based analysis of orthologous promoter sequences. Bioinformatics 24(13):i165-71
Wu WS and Li WH  (2008) Systematic identification of yeast cell cycle transcription factors using multiple data sources. BMC Bioinformatics 9:522
Chen G, et al.  (2007) Clustering of genes into regulons using integrated modeling-COGRIM. Genome Biol 8(1):R4
Lu Y, et al.  (2007) Combined analysis reveals a core set of cycling genes. Genome Biol 8(7):R146
Morozov AV and Siggia ED  (2007) Connecting protein structure with predictions of regulatory sites. Proc Natl Acad Sci U S A 104(17):7068-73
Cheng C, et al.  (2006) MARD: a new method to detect differential gene expression in treatment-control time courses. Bioinformatics 22(21):2650-7
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
Wu WS, et al.  (2006) Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle. BMC Bioinformatics 7(1):421