YAP1/YML007W Literature Guide Help

Other names published for YAP1: PAR1, SNQ3, YML007W

YAP1 - Computational analysis (42)

ReferenceOther Genes Addressed
Goncalves JP, et al.  (2012) Regulatory Snapshots: integrative mining of regulatory modules from expression time series and regulatory networks. PLoS One 7(5):e35977
Tkach JM, et al.  (2012) Dissecting DNA damage response pathways by analysing protein localization and abundance changes during DNA replication stress. Nat Cell Biol 14(9):966-76
Calcada D, et al.  (2011) Quantitative modeling of the Saccharomyces cerevisiae flr1 regulatory network using an s-system formalism. J Bioinform Comput Biol 9(5):613-30
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
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
Goudot C, et al.  (2011) The Reconstruction of Condition-Specific Transcriptional Modules Provides New Insights in the Evolution of Yeast AP-1 Proteins. PLoS One 6(6):e20924
Li Z, et al.  (2011) Large-scale dynamic gene regulatory network inference combining differential equation models with local dynamic Bayesian network analysis. Bioinformatics 27(19):2686-91
Monteiro PT, et al.  (2011) Qualitative modelling and formal verification of the FLR1 gene mancozeb response in Saccharomyces cerevisiae. IET Syst Biol 5(5):308
Babbitt GA  (2010) Relaxed selection against accidental binding of transcription factors with conserved chromatin contexts. Gene 466(1-2):43-8
Bailly-Bechet M, et al.  (2010) Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach. BMC Bioinformatics 11():355
Wang YC and Chen BS  (2010) Integrated cellular network of transcription regulations and protein-protein interactions. BMC Syst Biol 4():20
Zeng T and Li J  (2010) Maximization of negative correlations in time-course gene expression data for enhancing understanding of molecular pathways. Nucleic Acids Res 38(1):e1
Emmert-Streib F and Dehmer M  (2009) Information processing in the transcriptional regulatory network of yeast: fnctional robustness. BMC Syst Biol 3:35
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
Nguyen Ba AN, et al.  (2009) NLStradamus: a simple Hidden Markov Model for nuclear localization signal prediction. BMC Bioinformatics 10:202
Selpi S, et al.  (2009) Predicting functional upstream open reading frames in Saccharomyces cerevisiae. BMC Bioinformatics 10():451
Song M, et al.  (2009) Discrete dynamical system modelling for gene regulatory networks of 5-hydroxymethylfurfural tolerance for ethanologenic yeast. IET Syst Biol 3(3):203
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
Wu WS and Chen BS  (2009) Identifying Stress Transcription Factors Using Gene Expression and TF-Gene Association Data. Bioinform Biol Insights 1():137-45
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
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
Lu CC, et al.  (2008) Extracting transcription factor binding sites from unaligned gene sequences with statistical models. BMC Bioinformatics 9 Suppl 12:S7
Wu WS and Li WH  (2008) Identifying gene regulatory modules of heat shock response in yeast. BMC Genomics 9:439
Chen G, et al.  (2007) Clustering of genes into regulons using integrated modeling-COGRIM. Genome Biol 8(1):R4
Cvijovic M, et al.  (2007) Identification of putative regulatory upstream ORFs in the yeast genome using heuristics and evolutionary conservation. BMC Bioinformatics 8:295
Ernst J, et al.  (2007) Reconstructing dynamic regulatory maps. Mol Syst Biol 3():74
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
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