Other names published for YAP1: PAR1, SNQ3, YML007W
YAP1 LITERATURE TOPICS
- Curated Literature
- Genetics/Cell Biology
- Nucleic Acid Information
- Gene Product Information
- Related Genes/Proteins
- Research Aids
- Genome-wide Analysis
- Proteome-wide Analysis
- Other Topics
- Additional Information
YAP1 - Computational analysis (42)
| Reference | Other 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 |



