Genetics of global gene expression
By M. Rockman, Leonid Kruglyak. Nature reviews genetics, 2006
701 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/0c31df71cf6c2dcebbfc657e24dae9b0f6fa53a8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Oliver Stegle
- Yunbi Xu
- Pamela S. Soltis
- J. Wendel
- D. Soltis
- Eric A. Stone
- Julien F. Ayroles
- Richard Durbin
In Molecular Biology
- Pamela S. Soltis
- D. Soltis
- J. Doyle
- Oliver Stegle
- J. Wendel
- Lex E. Flagel
- Richard Durbin
- Eric A. Stone
Citations in the corpus
- Evolutionary genetics of genome merger and doubling in plants. (2008, background): “Gene expression is context dependent (90), and alleles from the diploid progenitor(s) will experience a novel context in the polyploid.”
- Population Genomics of Parallel Adaptation in Threespine Stickleback using Sequenced RAD Tags (2010, neutral): “analyses [42–47].”
- Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses (2012, background): “Oliver Stegle 1,2,6 , Leopold Parts Max Planck Institute for Intelligent Systems, Tübingen, Germany.”
- The QTN Program and the Alleles That Matter for Evolution: All That’s Gold Does Not Glitter (2011, background): “For Fisher, the sphere was typically quite small, as populations would adapt by continuous pursuit of a receding optimum, which, like a carrot on a stick, draws the population forward but remains forever just out of reach (Fisher 1930; Frank and Slatkin 1992).”
- Marker-Assisted Selection in Plant Breeding: From Publications to Practice (2008, background): “Dissecting the architecture of quantitative traits in this way connects DNA sequence variation with phenotypic variation, and is improving our understanding of transcriptional regulation and regulatory variation (Rockman and Kruglyak, 2006).”
- The genetics of quantitative traits: challenges and prospects (2009, background): “Intermediate molecular phenotypes such as transcript abundance also vary genetically in populations and are themselves quantitative trait”