The 16 papers which experimentally study the biological roles of both TFs of the PCTFP (Tec1-Hap4)
Gagiano M, et al. (2002) The sensing of nutritional status and the relationship to filamentous growth in Saccharomyces cerevisiae. FEMS Yeast Res 2(4):433-70
Rintala E, et al. (2009) Low oxygen levels as a trigger for enhancement of respiratory metabolism in Saccharomyces cerevisiae. BMC Genomics 10():461
Wu WS, et al. (2006) Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle. BMC Bioinformatics 7(1):421
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
Foster HA, et al. (2013) The Zinc Cluster Protein Sut1 Contributes to Filamentation in Saccharomyces cerevisiae. Eukaryot Cell 12(2):244-53
Zheng J, et al. (2010) Epistatic relationships reveal the functional organization of yeast transcription factors. Mol Syst Biol 6():420
Reddy TE, et al. (2007) Positional clustering improves computational binding site detection and identifies novel cis-regulatory sites in mammalian GABAA receptor subunit genes. Nucleic Acids Res 35(3):e20
Babbitt GA (2010) Relaxed selection against accidental binding of transcription factors with conserved chromatin contexts. Gene 466(1-2):43-8
Miller C, et al. (2011) Dynamic transcriptome analysis measures rates of mRNA synthesis and decay in yeast. Mol Syst Biol 7():458
Kundaje A, et al. (2008) A predictive model of the oxygen and heme regulatory network in yeast. PLoS Comput Biol 4(11):e1000224
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
Lu CC, et al. (2008) Extracting transcription factor binding sites from unaligned gene sequences with statistical models. BMC Bioinformatics 9 Suppl 12:S7
Lai FJ, et al. (2014) A comprehensive performance evaluation on the prediction results of existing cooperative transcription factors identification algorithms. BMC Syst Biol 8 Suppl 4():S9
Yu T and Li KC (2005) Inference of transcriptional regulatory network by two-stage constrained space factor analysis. Bioinformatics 21(21):4033-8
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
Sun W, et al. (2007) Detection of eQTL modules mediated by activity levels of transcription factors. Bioinformatics 23(17):2290-7