SWI5/YDR146C Literature Guide Help

Other names published for SWI5: YDR146C

SWI5 - Computational analysis (71)

Results: 1 - 30 of 71 records
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ReferenceOther Genes Addressed
Fernandez MA, et al.  (2012) Identification of a core set of signature cell cycle genes whose relative order of time to peak expression is conserved across species. Nucleic Acids Res 40(7):2823-32
Freire P, et al.  (2012) Interplay of transcriptional and proteolytic regulation in driving robust cell cycle progression. Mol Biosyst 8(3):863-70
Klarner H, et al.  (2012) Time series dependent analysis of unparametrized Thomas networks. IEEE/ACM Trans Comput Biol Bioinform 9(5):1338-51
Thompson EG and Galitski T  (2012) Quantifying and analyzing the network basis of genetic complexity. PLoS Comput Biol 8(7):e1002583
Todd RG and Helikar T  (2012) Ergodic sets as cell phenotype of budding yeast cell cycle. PLoS One 7(10):e45780
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
Gallo CA, et al.  (2011) Discovering Time-Lagged Rules from Microarray Data using Gene Profile Classifiers. BMC Bioinformatics 12(1):123
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
Gormley M, et al.  (2011) An integrated framework to model cellular phenotype as a component of biochemical networks. Adv Bioinformatics 2011():608295
Higa CH, et al.  (2011) Constraint-based analysis of gene interactions using restricted boolean networks and time-series data. BMC Proc 5 Suppl 2():S5
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
Tuglus C and van der Laan MJ  (2011) Repeated measures semiparametric regression using targeted maximum likelihood methodology with application to transcription factor activity discovery. Stat Appl Genet Mol Biol 10(1):Article2
Verdicchio MP and Kim S  (2011) Identifying targets for intervention by analyzing basins of attraction. Pac Symp Biocomput ():350-61
Vinod PK, et al.  (2011) Computational modelling of mitotic exit in budding yeast: the role of separase and Cdc14 endocycles. J R Soc Interface 8(61):1128-41
Vohradska E and Vohradsky J  (2011) Virtual mutagenesis of the yeast cyclins genetic network reveals complex dynamics of transcriptional control networks. PLoS One 6(4):e18827
Wang H, et al.  (2011) Yeast cell cycle transcription factors identification by variable selection criteria. Gene 485(2):172-6
Babbitt GA  (2010) Relaxed selection against accidental binding of transcription factors with conserved chromatin contexts. Gene 466(1-2):43-8
Goh WS, et al.  (2010) Blurring of high-resolution data shows that the effect of intrinsic nucleosome occupancy on transcription factor binding is mostly regional, not local. PLoS Comput Biol 6(1):e1000649
Lionnet T, et al.  (2010) Nuclear physics: quantitative single-cell approaches to nuclear organization and gene expression. Cold Spring Harb Symp Quant Biol 75():113-26
Mangla K, et al.  (2010) Timing robustness in the budding and fission yeast cell cycles. PLoS One 5(2):e8906
Tan M, et al.  (2010) Scalable approach for effective control of gene regulatory networks. Artif Intell Med 48(1):51-59
To CC and Vohradsky J  (2010) Measurement variation determines the gene network topology reconstructed from experimental data: a case study of the yeast cyclin network. FASEB J 24(9):3468-78
Wang G, et al.  (2010) Process-based network decomposition reveals backbone motif structure. Proc Natl Acad Sci U S A 107(23):10478-83
Ay F, et al.  (2009) Scalable steady state analysis of boolean biological regulatory networks. PLoS One 4(12):e7992
Cantone I, et al.  (2009) A yeast synthetic network for in vivo assessment of reverse-engineering and modeling approaches. Cell 137(1):172-81
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
Faure A, et al.  (2009) Modular logical modelling of the budding yeast cell cycle. Mol Biosyst 5(12):1787-96
Jothi R, et al.  (2009) Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture. Mol Syst Biol 5:294
Lyu S  (2009) Combining boolean method with delay times for determining behaviors of biological networks. Conf Proc IEEE Eng Med Biol Soc 1():4884-7
Results: 1 - 30 of 71 records
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