The 16 papers which experimentally study the biological roles of both TFs of the PCTFP (Pho2-Swi4)
Ozonov EA and van Nimwegen E (2013) Nucleosome free regions in yeast promoters result from competitive binding of transcription factors that interact with chromatin modifiers. PLoS Comput Biol 9(8):e1003181
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
Wang Y, et al. (2009) Predicting eukaryotic transcriptional cooperativity by Bayesian network integration of genome-wide data. Nucleic Acids Res 37(18):5943-58
Burtner CR, et al. (2011) A genomic analysis of chronological longevity factors in budding yeast. Cell Cycle 10(9):1385-96
Zheng J, et al. (2010) Epistatic relationships reveal the functional organization of yeast transcription factors. Mol Syst Biol 6():420
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
Arino J (2010) Integrative Responses to High pH Stress in S. cerevisiae. OMICS 14(5):517-23
Rando OJ and Winston F (2012) Chromatin and transcription in yeast. Genetics 190(2):351-87
Beskow A and Wright AP (2006) Comparative analysis of regulatory transcription factors in Schizosaccharomyces pombe and budding yeasts. Yeast 23(13):929-35
Lu CC, et al. (2008) Extracting transcription factor binding sites from unaligned gene sequences with statistical models. BMC Bioinformatics 9 Suppl 12:S7
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
Cai L and Tu BP (2012) Driving the cell cycle through metabolism. Annu Rev Cell Dev Biol 28():59-87
Joshi A, et al. (2010) Characterizing regulatory path motifs in integrated networks using perturbational data. Genome Biol 11(3):R32
Yu T and Li KC (2005) Inference of transcriptional regulatory network by two-stage constrained space factor analysis. Bioinformatics 21(21):4033-8
Lai WK and Buck MJ (2013) An integrative approach to understanding the combinatorial histone code at functional elements. Bioinformatics 29(18):2231-7
Qi Y, et al. (2008) Finding friends and enemies in an enemies-only network: A graph diffusion kernel for predicting novel genetic interactions and co-complex membership from yeast genetic interactions. Genome Res 18(12):1991-2004