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- W2016096713 abstract "The use of natural variation in the genetic dissection of quantitative traits has a long-standing tradition. Recent advances in high-throughput technologies for the quantification of biological molecules have shifted the focus in quantitative genetics from single traits to comprehensive large-scale analyses. So-called omic technologies now enable geneticists to take a look in the black box that translates genetic information into biological function. These processes include transcriptional and (post) translational regulation as well as metabolic signaling pathways. The progress made in analytical and statistical techniques now allows the construction of regulatory networks that integrate the different levels of the biological information flow from gene-to-function." @default.
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- W2016096713 date "2008-04-01" @default.
- W2016096713 modified "2023-10-16" @default.
- W2016096713 title "Quantitative genetics in the age of omics" @default.
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- W2016096713 cites W1974824606 @default.
- W2016096713 cites W1976551484 @default.
- W2016096713 cites W1977708739 @default.
- W2016096713 cites W1978242826 @default.
- W2016096713 cites W1979214731 @default.
- W2016096713 cites W1984120378 @default.
- W2016096713 cites W1985756920 @default.
- W2016096713 cites W1988930747 @default.
- W2016096713 cites W1999498230 @default.
- W2016096713 cites W2005901642 @default.
- W2016096713 cites W2006317824 @default.
- W2016096713 cites W2008147924 @default.
- W2016096713 cites W2013085592 @default.
- W2016096713 cites W2021427465 @default.
- W2016096713 cites W2034637004 @default.
- W2016096713 cites W2040912377 @default.
- W2016096713 cites W2046256455 @default.
- W2016096713 cites W2052399562 @default.
- W2016096713 cites W2059979506 @default.
- W2016096713 cites W2065525079 @default.
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- W2016096713 cites W2076575251 @default.
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- W2016096713 cites W2084893171 @default.
- W2016096713 cites W2087903669 @default.
- W2016096713 cites W2094248448 @default.
- W2016096713 cites W2098884870 @default.
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- W2016096713 doi "https://doi.org/10.1016/j.pbi.2008.01.006" @default.
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