Daniel A. Skelly
Affiliations: | 2012 | Genome Sciences | University of Washington, Seattle, Seattle, WA |
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"Daniel Skelly"Parents
Sign in to add mentorJoshua 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 |