FHL1/YPR104C Literature Guide Help

Other names published for FHL1: SPP42, YPR104C

FHL1 - Computational analysis (24)

ReferenceOther Genes Addressed
Chang DT, et al.  (2012) A study on promoter characteristics of head-to-head genes in Saccharomyces cerevisiae. BMC Genomics 13 Suppl 1():S11
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
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
Joshi A, et al.  (2011) Structural and functional organization of RNA regulons in the post-transcriptional regulatory network of yeast. Nucleic Acids Res 39(21):9108-17
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
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
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
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
Muller D and Stelling J  (2009) Precise regulation of gene expression dynamics favors complex promoter architectures. PLoS Comput Biol 5(1):e1000279
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
Ward LD and Bussemaker HJ  (2008) Predicting functional transcription factor binding through alignment-free and affinity-based analysis of orthologous promoter sequences. Bioinformatics 24(13):i165-71
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
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
Guo X, et al.  (2006) Histone acetylation and transcriptional regulation in the genome of Saccharomyces cerevisiae. Bioinformatics 22(4):392-9
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
Hvidsten TR, et al.  (2005) Discovering regulatory binding-site modules using rule-based learning. Genome Res 15(6):856-66
Leyfer D and Weng Z  (2005) Genome-wide decoding of hierarchical modular structure of transcriptional regulation by cis-element and expression clustering. Bioinformatics 21 Suppl 2():ii197-203
Yang YL, et al.  (2005) Inferring yeast cell cycle regulators and interactions using transcription factor activities. BMC Genomics 6():90
Haugen AC, et al.  (2004) Integrating phenotypic and expression profiles to map arsenic-response networks. Genome Biol 5(12):R95
Seoighe C, et al.  (2000) Prevalence of small inversions in yeast gene order evolution. Proc Natl Acad Sci U S A 97(26):14433-7