Genetic interactions contribute less than additive effects to quantitative trait variation in yeast.
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TheCellMap.org: A Web-Accessible Database for Visualizing and Mining the Global Yeast Genetic Interaction Network.Epistasis: Searching for Interacting Genetic Variants Using Crosses.Identification of Nitrogen Consumption Genetic Variants in Yeast Through QTL Mapping and Bulk Segregant RNA-Seq Analyses.Identification of Ceruloplasmin as a Gene that Affects Susceptibility to Glomerulonephritis Through Macrophage Function.Epistatic Networks Jointly Influence Phenotypes Related to Metabolic Disease and Gene Expression in Diversity Outbred Mice.Gene-Environment Interactions in Stress Response Contribute Additively to a Genotype-Environment Interaction.Genetic Regulation of Phenotypic Plasticity and Canalisation in Yeast Growth.Modifiers of the Genotype-Phenotype Map: Hsp90 and Beyond.Polymorphisms in the yeast galactose sensor underlie a natural continuum of nutrient-decision phenotypes.CRISPR-directed mitotic recombination enables genetic mapping without crosses.Multikernel linear mixed models for complex phenotype prediction.The Genomic Architecture of Interactions Between Natural Genetic Polymorphisms and Environments in Yeast Growth.Genetic variation in adaptability and pleiotropy in budding yeast.Are Interactions between cis-Regulatory Variants Evidence for Biological Epistasis or Statistical Artifacts?Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast.Powerful decomposition of complex traits in a diploid model2015 Curt Stern Award.A global genetic interaction network maps a wiring diagram of cellular function.Predicting quantitative traits from genome and phenome with near perfect accuracy.Differential Regulation of Cryptic Genetic Variation Shapes the Genetic Interactome Underlying Complex TraitsPolygenicity and Epistasis Underlie Fitness-Proximal Traits in the Caenorhabditis elegans Multiparental Experimental Evolution (CeMEE) Panel.A deep auto-encoder model for gene expression prediction.A Rapid Epistatic Mixed-model Association Analysis by Linear Retransformations of Genomic Estimated Values.Natural variation of chronological aging in the Saccharomyces cerevisiae species reveals diet-dependent mechanisms of life span control.QTL mapping of volatile compound production in Saccharomyces cerevisiae during alcoholic fermentation.Genetics of -regulatory variation in gene expression
P2860
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P2860
Genetic interactions contribute less than additive effects to quantitative trait variation in yeast.
description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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2015年论文
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2015年论文
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name
Genetic interactions contribut ...... tive trait variation in yeast.
@ast
Genetic interactions contribut ...... tive trait variation in yeast.
@en
type
label
Genetic interactions contribut ...... tive trait variation in yeast.
@ast
Genetic interactions contribut ...... tive trait variation in yeast.
@en
prefLabel
Genetic interactions contribut ...... tive trait variation in yeast.
@ast
Genetic interactions contribut ...... tive trait variation in yeast.
@en
P2093
P2860
P356
P1476
Genetic interactions contribut ...... tive trait variation in yeast.
@en
P2093
Iulia Kotenko
Joshua S Bloom
Leonid Kruglyak
Sebastian Treusch
P2860
P2888
P356
10.1038/NCOMMS9712
P407
P577
2015-11-05T00:00:00Z