GAL10/YBR019C Literature Guide Help

Other names published for GAL10: bifunctional UDP-glucose 4-epimerase/aldose 1-epimerase, YBR019C

GAL10 - Omics (43)

Results: 1 - 30 of 43 records
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ReferenceOther Genes Addressed
Kim KH and Sauro HM  (2012) Adjusting phenotypes by noise control. PLoS Comput Biol 8(1):e1002344
Kim T, et al.  (2012) Set3 HDAC mediates effects of overlapping noncoding transcription on gene induction kinetics. Cell 150(6):1158-69
Kvas S, et al.  (2012) Loss of nonsense mediated decay suppresses mutations in Saccharomyces cerevisiae TRA1. BMC Genet 13(1):19
Murray SC, et al.  (2012) A pre-initiation complex at the 3'-end of genes drives antisense transcription independent of divergent sense transcription. Nucleic Acids Res 40(6):2432-44
Pedersen JM, et al.  (2012) DNA Topoisomerases Maintain Promoters in a State Competent for Transcriptional Activation in Saccharomyces cerevisiae. PLoS Genet 8(12):e1003128
Bircham PW, et al.  (2011) Secretory pathway genes assessed by high-throughput microscopy and synthetic genetic array analysis. Mol Biosyst 7(9):2589-98
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
McIsaac RS, et al.  (2011) Fast-acting and nearly gratuitous induction of gene expression and protein depletion in Saccharomyces cerevisiae. Mol Biol Cell 22(22):4447-59
Munchel SE, et al.  (2011) Dynamic profiling of mRNA turnover reveals gene-specific and system-wide regulation of mRNA decay. Mol Biol Cell 22(15):2787-95
Phenix H, et al.  (2011) Quantitative epistasis analysis and pathway inference from genetic interaction data. PLoS Comput Biol 7(5):e1002048
Takanishi C and Wood MJ  (2011) A genetically encoded probe for the identification of proteins that form sulfenic acid in response to H2O2 in Saccharomyces cerevisiae. J Proteome Res 10(6):2715-24
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
Morris RT, et al.  (2010) Ceres: software for the integrated analysis of transcription factor binding sites and nucleosome positions in Saccharomyces cerevisiae. Bioinformatics 26(2):168-74
Otero JM, et al.  (2010) Whole genome sequencing of Saccharomyces cerevisiae: from genotype to phenotype for improved metabolic engineering applications. BMC Genomics 11():723
Sharma A and Malakar P  (2010) Structure modeling and comparative genomics for epimerase enzyme (Gal10p). Bioinformation 5(6):266-70
Song C, et al.  (2010) Estimating the Stochastic Bifurcation Structure of Cellular Networks. PLoS Comput Biol 6(3):e1000699
West GM, et al.  (2010) Quantitative proteomics approach for identifying protein-drug interactions in complex mixtures using protein stability measurements. Proc Natl Acad Sci U S A 107(20):9078-82
Cantone I, et al.  (2009) A yeast synthetic network for in vivo assessment of reverse-engineering and modeling approaches. Cell 137(1):172-81
Venters BJ and Pugh BF  (2009) A canonical promoter organization of the transcription machinery and its regulators in the Saccharomyces genome. Genome Res 19(3):360-71
Bengtsson O, et al.  (2008) Identification of common traits in improved xylose-growing Saccharomyces cerevisiae for inverse metabolic engineering. Yeast 25(11):835-47
Berger AB, et al.  (2008) High-resolution statistical mapping reveals gene territories in live yeast. Nat Methods 5(12):1031-7
Ito T, et al.  (2008) Unexpected complexity of the budding yeast transcriptome. IUBMB Life 60(12):775-81
Snitkin ES, et al.  (2008) Model-driven analysis of experimentally determined growth phenotypes for 465 yeast gene deletion mutants under 16 different conditions. Genome Biol 9(9):R140
Boccazzi P, et al.  (2006) Differential gene expression profiles and real-time measurements of growth parameters in Saccharomyces cerevisiae grown in microliter-scale bioreactors equipped with internal stirring. Biotechnol Prog 22(3):710-7
Cliften PF, et al.  (2006) After the duplication: gene loss and adaptation in Saccharomyces genomes. Genetics 172(2):863-72
Ronen M and Botstein D  (2006) Transcriptional response of steady-state yeast cultures to transient perturbations in carbon source. Proc Natl Acad Sci U S A 103(2):389-94
Schmid M, et al.  (2006) Nup-PI: the nucleopore-promoter interaction of genes in yeast. Mol Cell 21(3):379-91
Sikder D, et al.  (2006) Widespread, but non-identical, association of proteasomal 19 and 20 S proteins with yeast chromatin. J Biol Chem 281(37):27346-55
Volfson D, et al.  (2006) Origins of extrinsic variability in eukaryotic gene expression. Nature 439(7078):861-4
Results: 1 - 30 of 43 records
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