Genetic Dissection of Transcriptional Regulation in Budding Yeast
By Rachel B. Brem, G. Yvert, R. Clinton, Leonid Kruglyak. Science, 2002
1,437 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/49a4b0131e313b93394046d4ac4d7e2f3ece65db
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In Genetics
- Oliver Stegle
- M. Rockman
- Jeffrey T. Leek
- Richard Durbin
- Leopold Parts
- John M. Winn
- Frank Emmert-Streib
- Lin S. Chen
In Molecular Biology
- Oliver Stegle
- Jeffrey T. Leek
- M. Rockman
- John D. Storey
- Richard Durbin
- Leopold Parts
- John M. Winn
- Frank Emmert-Streib
Citations in the corpus
- Genetics of global gene expression (2006, background): “Since the first empirical linkage study of global transcript levels was published in 2002 (Ref”
- The pleiotropic structure of the genotype–phenotype map: the evolvability of complex organisms (2011, background): “Brem and colleagues identified QTLs underlying expression differences of 570 genes between a common laboratory strain and a vineyard-isolated strain of the budding yeast Saccharomyces cerevisiae”
- The evolution of transcriptional regulation in eukaryotes. (2003, background): “…and Crawford 2002), D. melanogaster (Jin et al. 2001; Rifkin, Kim, and White 2003), Zea mays (Schadt et al. 2003), and Saccharomyces cerevisiae (Cavalieri, Townsend, and Hartl 2000; Brem et al. 2002), all indicate that genetic variation in transcript abundance is pervasive within populations.”
- A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies (2010, background): “Such loci have been observed in several eQTL mapping studies [ 1 ,3].”
- Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks (2008, background): “Cyan 27 BP Response to chemical stimulus 153 (9) 7.”
- Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses (2012, background): “Our understanding of the genetic basis of gene expression has been developed by studying species such as yeast 3–5 , worms 6 , mice 7,8 and humans 9–12 .”
- An integrative genomics approach to infer causal associations between gene expression and disease (2005, methodology): “Microarray data have recently been combined with other experimental approaches to facilitate identification of key mechanistic drivers of complex trait”
- Estimating the number of true null hypotheses from a histogram of p values (2006, positive): “Combining the two technologies (see, for example, Jansen and Nap, 2001; Brem et al., 2002; Yvert et al., 2003; Schadt et al., 2003ab; Pomp et al., 2004; Hubner et al., 2005; Bystrykh et al., 2005; Chesler et al., 2005; DeCook et al., 2005) can result in millions of tests.”
- Discovery of meaningful associations in genomic data using partial correlation coefficients (2004, methodology): “From this study, based on 42 observations (Brem et al., 2002; Yvert et al., 2003), candidate causal links between genes were identified from QTL analyses of expression profiles.”