STB1/YNL309W Literature Guide Help

Other names published for STB1: YNL309W

STB1 - Computational analysis (23)

ReferenceOther Genes Addressed
Wang H, et al.  (2011) Yeast cell cycle transcription factors identification by variable selection criteria. Gene 485(2):172-6
Alberghina L, et al.  (2009) Molecular networks and system-level properties. J Biotechnol 144(3):224-33
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
Swamy KB, et al.  (2009) Impact of DNA-binding position variants on yeast gene expression. Nucleic Acids Res 37(21):6991-7001
Xiao Y and Segal MR  (2009) Identification of yeast transcriptional regulation networks using multivariate random forests. PLoS Comput Biol 5(6):e1000414
Boorsma A, et al.  (2008) Inferring Condition-Specific Modulation of Transcription Factor Activity in Yeast through Regulon-Based Analysis of Genomewide Expression. PLoS ONE 3(9):e3112
Wu WS and Li WH  (2008) Systematic identification of yeast cell cycle transcription factors using multiple data sources. BMC Bioinformatics 9:522
Alarcon T and Tindall MJ  (2007) Modelling cell growth and its modulation of the G1/S transition. Bull Math Biol 69(1):197-214
Chang EJ, et al.  (2007) Prediction of cyclin-dependent kinase phosphorylation substrates. PLoS One 2(7):e656
Chen G, et al.  (2007) Clustering of genes into regulons using integrated modeling-COGRIM. Genome Biol 8(1):R4
Lau KY, et al.  (2007) Function constrains network architecture and dynamics: a case study on the yeast cell cycle Boolean network. Phys Rev E Stat Nonlin Soft Matter Phys 75(5 Pt 1):051907
Moses AM, et al.  (2007) Clustering of phosphorylation site recognition motifs can be exploited to predict the targets of cyclin-dependent kinase. Genome Biol 8(2):R23
Wang RS, et al.  (2007) Inferring transcriptional regulatory networks from high-throughput data. Bioinformatics 23(22):3056-3064
Carlson JM, et al.  (2006) Bounded search for de novo identification of degenerate cis-regulatory elements. BMC Bioinformatics 7():254
Galbraith SJ, et al.  (2006) Transcriptome network component analysis with limited microarray data. Bioinformatics 22(15):1886-94
Guo X, et al.  (2006) Histone acetylation and transcriptional regulation in the genome of Saccharomyces cerevisiae. Bioinformatics 22(4):392-9
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
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
Siddharthan R, et al.  (2005) PhyloGibbs: a Gibbs sampling motif finder that incorporates phylogeny. PLoS Comput Biol 1(7):e67
Kato M, et al.  (2004) Identifying combinatorial regulation of transcription factors and binding motifs. Genome Biol 5(8):R56
Banerjee N and Zhang MQ  (2003) Identifying cooperativity among transcription factors controlling the cell cycle in yeast. Nucleic Acids Res 31(23):7024-31
Kellis M, et al.  (2003) Sequencing and comparison of yeast species to identify genes and regulatory elements. Nature 423(6937):241-54