Prins, Pjotr, Smant, Geert, Arends, Danny, Mulligan, Megan K., Williams, Rob W. and Jansen, Ritsert C. (2019) Systems Genetics for Evolutionary Studies. In: Evolutionary Genomics: Statistical and Computational Methods. Humana Press, New York, NY, pp. 635-652. ISBN 9781493990733; 9781493990740
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978-1-4939-9074-0_21.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (439kB) | Preview |
Official URL: https://doi.org/10.1007/978-1-4939-9074-0_21
Abstract
Systems genetics combines high-throughput genomic data with genetic analysis. In this chapter, we review and discuss application of systems genetics in the context of evolutionary studies, in which high-throughput molecular technologies are being combined with quantitative trait locus (QTL) analysis in segregating populations.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | Systems genetics, Genetical genomics, QTL, eQTL, xQTL, R-genes, Evolution, R/qtl, LMM, GEMMA, NGS, Genomics, Metabolomics, Network inference, GeneNetwork |
| Subjects: | C100 Biology C400 Genetics C500 Microbiology |
| Department: | Faculties > Health and Life Sciences > Applied Sciences |
| Depositing User: | Rachel Branson |
| Date Deposited: | 16 Sep 2022 14:00 |
| Last Modified: | 16 Sep 2022 14:15 |
| URI: | https://nrl.northumbria.ac.uk/id/eprint/50163 |
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