Prevalent positive epistasis in Escherichia coli and Saccharomyces cerevisiae metabolic networks.
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Computational approaches for understanding energy metabolismThe causes of epistasisYeast 5 – an expanded reconstruction of the Saccharomyces cerevisiae metabolic networkThe genetic basis of natural variation in oenological traits in Saccharomyces cerevisiae.Pervasive sign epistasis between conjugative plasmids and drug-resistance chromosomal mutationsNatural selection on functional modules, a genome-wide analysisQuantitative epistasis analysis and pathway inference from genetic interaction dataCharacterization of the metabolic requirements in yeast meiosisRecombination accelerates adaptation on a large-scale empirical fitness landscape in HIV-1Genetic variants in Alzheimer disease - molecular and brain network approachesEvolution combined with genomic study elucidates genetic bases of isobutanol tolerance in Escherichia coli.Systems level analysis of the Chlamydomonas reinhardtii metabolic network reveals variability in evolutionary co-conservation.An integrated approach to characterize genetic interaction networks in yeast metabolism.Fisher's geometric model of adaptation meets the functional synthesis: data on pairwise epistasis for fitness yields insights into the shape and size of phenotype spaceRefined DNase-seq protocol and data analysis reveals intrinsic bias in transcription factor footprint identification.Knowledge-driven multi-locus analysis reveals gene-gene interactions influencing HDL cholesterol level in two independent EMR-linked biobanks.Epistasis for growth rate and total metabolic flux in yeast.Balanced codon usage optimizes eukaryotic translational efficiency.A computational systems approach identifies synergistic specification genes that facilitate lineage conversion to prostate tissueThe balance of weak and strong interactions in genetic networksSmaller, scale-free gene networks increase quantitative trait heritability and result in faster population recoveryPervasive antagonistic interactions among hybrid incompatibility lociHiSeeker: Detecting High-Order SNP Interactions Based on Pairwise SNP Combinations.Empirical Statistical Power for Testing Multilocus Genotypic Effects under Unbalanced Designs Using a Gibbs Sampler.Smaller gene networks permit longer persistence in fast-changing environments.Integrating multiple types of data to predict novel cell cycle-related genes.Maintenance of duplicate genes and their functional redundancy by reduced expression.Antagonistic regulation of motility and transcriptome expression by RpoN and RpoS in Escherichia coli.The transcriptional modulator BCL6 as a molecular target for breast cancer therapyEndogenous retroviruses function as species-specific enhancer elements in the placentaPredicting the human epigenome from DNA motifs.The effect of bacterial recombination on adaptation on fitness landscapes with limited peak accessibilityImpact of gene expression noise on organismal fitness and the efficacy of natural selection.Should evolutionary geneticists worry about higher-order epistasis?Quantitative analysis of fitness and genetic interactions in yeast on a genome scale.Functional and metabolic effects of adaptive glycerol kinase (GLPK) mutants in Escherichia coli.Multivariate analysis of regulatory SNPs: empowering personal genomics by considering cis-epistasis and heterogeneityMicrobial laboratory evolution in the era of genome-scale science.Dynamic epistasis under varying environmental perturbationsCharacterization of genome-wide enhancer-promoter interactions reveals co-expression of interacting genes and modes of higher order chromatin organization.
P2860
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P2860
Prevalent positive epistasis in Escherichia coli and Saccharomyces cerevisiae metabolic networks.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Prevalent positive epistasis i ...... cerevisiae metabolic networks.
@ast
Prevalent positive epistasis i ...... cerevisiae metabolic networks.
@en
type
label
Prevalent positive epistasis i ...... cerevisiae metabolic networks.
@ast
Prevalent positive epistasis i ...... cerevisiae metabolic networks.
@en
prefLabel
Prevalent positive epistasis i ...... cerevisiae metabolic networks.
@ast
Prevalent positive epistasis i ...... cerevisiae metabolic networks.
@en
P2093
P2860
P356
P1433
P1476
Prevalent positive epistasis i ...... cerevisiae metabolic networks.
@en
P2093
Jianzhi Zhang
Wenfeng Qian
Xionglei He
P2860
P2888
P304
P356
10.1038/NG.524
P407
P577
2010-01-24T00:00:00Z