CBF1/YJR060W Literature Guide Help

Other names published for CBF1: CEP1, CPF1, CP1, YJR060W

CBF1 - Computational analysis (32)

Results: 1 - 30 of 32 records
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ReferenceOther Genes Addressed
Geijer C, et al.  (2012) Time course gene expression profiling of yeast spore germination reveals a network of transcription factors orchestrating the global response. BMC Genomics 13(1):554
Grzegorczyk M and Husmeier D  (2012) A non-homogeneous dynamic bayesian network with sequentially coupled interaction parameters for applications in systems and synthetic biology.LID - 10.1515/1544-6115.1761 [doi]LID - /j/sagmb.2012.11.issue-4/1544-6115.1761/1544-6115.1761.xml [pii] Stat Appl Genet Mol Biol 11(4)
Hansen L, et al.  (2012) Differences in local genomic context of bound and unbound motifs. Gene 506(1):125-34
Klarner H, et al.  (2012) Time series dependent analysis of unparametrized Thomas networks. IEEE/ACM Trans Comput Biol Bioinform 9(5):1338-51
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
Vinh NX, et al.  (2012) Issues impacting genetic network reverse engineering algorithm validation using small networks. Biochim Biophys Acta 1824(12):1434-41
di Bernardo D, et al.  (2012) Predicting synthetic gene networks. Methods Mol Biol 813():57-81
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
Marucci L, et al.  (2011) Derivation, identification and validation of a computational model of a novel synthetic regulatory network in yeast. J Math Biol 62(5):685-706
Babbitt GA  (2010) Relaxed selection against accidental binding of transcription factors with conserved chromatin contexts. Gene 466(1-2):43-8
Chen X, et al.  (2010) A dynamic Bayesian network for identifying protein-binding footprints from single molecule-based sequencing data. Bioinformatics 26(12):i334-42
Cantone I, et al.  (2009) A yeast synthetic network for in vivo assessment of reverse-engineering and modeling approaches. Cell 137(1):172-81
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
Marucci L, et al.  (2009) How to turn a genetic circuit into a synthetic tunable oscillator, or a bistable switch. PLoS One 4(12):e8083
Moxley JF, et al.  (2009) Linking high-resolution metabolic flux phenotypes and transcriptional regulation in yeast modulated by the global regulator Gcn4p. Proc Natl Acad Sci U S A 106(16):6477-82
Wang Y, et al.  (2009) Predicting eukaryotic transcriptional cooperativity by Bayesian network integration of genome-wide data. Nucleic Acids Res 37(18):5943-58
Lu CC, et al.  (2008) Extracting transcription factor binding sites from unaligned gene sequences with statistical models. BMC Bioinformatics 9 Suppl 12:S7
Chen G, et al.  (2007) Clustering of genes into regulons using integrated modeling-COGRIM. Genome Biol 8(1):R4
Ernst J, et al.  (2007) Reconstructing dynamic regulatory maps. Mol Syst Biol 3():74
Holloway DT, et al.  (2007) Machine learning for regulatory analysis and transcription factor target prediction in yeast. Syst Synth Biol 1(1):25-46
McCord RP, et al.  (2007) Inferring condition-specific transcription factor function from DNA binding and gene expression data. Mol Syst Biol 3():100
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
Roider HG, et al.  (2007) Predicting transcription factor affinities to DNA from a biophysical model. Bioinformatics 23(2):134-41
Hart CE, et al.  (2006) Connectivity in the yeast cell cycle transcription network: inferences from neural networks. PLoS Comput Biol 2(12):e169
Kundaje A, et al.  (2006) A classification-based framework for predicting and analyzing gene regulatory response. BMC Bioinformatics 7 Suppl 1():S5
Stanley SM, et al.  (2006) GONOME: measuring correlations between GO terms and genomic positions. BMC Bioinformatics 7():94
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
Wang T and Stormo GD  (2005) Identifying the conserved network of cis-regulatory sites of a eukaryotic genome. Proc Natl Acad Sci U S A 102(48):17400-5
Yu T and Li KC  (2005) Inference of transcriptional regulatory network by two-stage constrained space factor analysis. Bioinformatics 21(21):4033-8
Results: 1 - 30 of 32 records
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