The 15 papers which experimentally study the biological roles of both TFs of the PCTFP (Ace2-Gal4)
Cantone I, et al. (2009) A yeast synthetic network for in vivo assessment of reverse-engineering and modeling approaches. Cell 137(1):172-81
Wu WS, et al. (2006) Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle. BMC Bioinformatics 7(1):421
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
Siddharthan R, et al. (2005) PhyloGibbs: a Gibbs sampling motif finder that incorporates phylogeny. PLoS Comput Biol 1(7):e67
Chen G, et al. (2007) Clustering of genes into regulons using integrated modeling-COGRIM. Genome Biol 8(1):R4
Zheng J, et al. (2010) Epistatic relationships reveal the functional organization of yeast transcription factors. Mol Syst Biol 6():420
Jothi R, et al. (2009) Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture. Mol Syst Biol 5:294
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
Bussereau F, et al. (2006) The Kluyveromyces lactis repertoire of transcriptional regulators. FEMS Yeast Res 6(3):325-35
Zhang DY, et al. (2000) Intramolecular interaction of yeast TFIIB in transcription control. Nucleic Acids Res 28(9):1913-20
Chen H, et al. (2014) Highly sensitive inference of time-delayed gene regulation by network deconvolution. BMC Syst Biol 8 Suppl 4():S6
Beskow A and Wright AP (2006) Comparative analysis of regulatory transcription factors in Schizosaccharomyces pombe and budding yeasts. Yeast 23(13):929-35
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
Manioudaki ME and Poirazi P (2013) Modeling regulatory cascades using Artificial Neural Networks: the case of transcriptional regulatory networks shaped during the yeast stress response. Front Genet 4():110
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