Daniel A. Skelly

Affiliations: 
2012 Genome Sciences University of Washington, Seattle, Seattle, WA 
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"Daniel Skelly"

Parents

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Joshua Akey grad student 2012 University of Washington
 (Patterns and determinants of variation in functional genomics phenotypes in the yeast Saccharomyces cerevisiae.)
Paul M. Magwene post-doc Duke
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Publications

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Aydin S, Skelly DA, Dewey H, et al. (2025) Cross cell-type systems genetics reveals the influence of eQTL at multiple points in the developmental trajectory of mouse neural progenitor cells. Biorxiv : the Preprint Server For Biology
Kuffler L, Skelly DA, Czechanski A, et al. (2024) Imputation of 3D genome structure by genetic-epigenetic interaction modeling in mice. Elife. 12
Vijayraghavan S, Kozmin SG, Strope PK, et al. (2023) RNA viruses, M satellites, chromosomal killer genes, and killer/non-killer phenotypes in the 100-genomes S. cerevisiae strains. G3 (Bethesda, Md.)
Aydin S, Pham DT, Zhang T, et al. (2023) Genetic dissection of the pluripotent proteome through multi-omics data integration. Cell Genomics. 3: 100283
Byers C, Spruce C, Fortin HJ, et al. (2021) Genetic control of the pluripotency epigenome determines differentiation bias in mouse embryonic stem cells. The Embo Journal. e109445
Yang HS, Onos KD, Choi K, et al. (2021) Natural genetic variation determines microglia heterogeneity in wild-derived mouse models of Alzheimer's disease. Cell Reports. 34: 108739
Skelly DA, Czechanski A, Byers C, et al. (2020) Mapping the Effects of Genetic Variation on Chromatin State and Gene Expression Reveals Loci That Control Ground State Pluripotency. Cell Stem Cell
Ortmann D, Brown S, Czechanski A, et al. (2020) Naive Pluripotent Stem Cells Exhibit Phenotypic Variability that Is Driven by Genetic Variation. Cell Stem Cell
Choi K, Chen Y, Skelly DA, et al. (2020) Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics. Genome Biology. 21: 183
Forte E, Skelly DA, Chen M, et al. (2020) Dynamic Interstitial Cell Response during Myocardial Infarction Predicts Resilience to Rupture in Genetically Diverse Mice. Cell Reports. 30: 3149-3163.e6
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