Author

Emma Hine

The University of QueenslandORCID 0000-0002-2257-4430Unclaimed ORCID profile · follow to get notified of new preprints

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Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

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Daniel E. RuncieiD· 1 shared Katrina McGuiganiD· 1 shared Mark W. BlowsiD· 1 shared Scott L. AlleniD· 1 shared Stephen F. ChenowethiD· 1 shared Yiguan WangiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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1 shared paperGenetics

Daniel E. RuncieORCID

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1 paper

Recent·Most cited

GeneticsbioRxivPreprintApr 21, 2022

Maintenance of quantitative genetic variance in complex, multi-trait phenotypes: The contribution of rare, large effect variants in two Drosophila species

Emma Hine, Daniel E. Runcie, Scott L. Allen…·Katrina McGuigan

The paper uses Bayesian Sparse Factor Genetic modelling to analyze gene expression traits in two Drosophila species, finding that most heritable trait covariation is due to a few extreme genotypes, suggesting the House of Cards model applies to co-expression phenotypes.

DOI 10.1101/2022.04.21.488876

Drosophilabulk RNA-seq

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