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Daniel A. Skelly - Publications

Affiliations: 
2012 Genome Sciences University of Washington, Seattle, Seattle, WA 
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20 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Vijayraghavan S, Kozmin SG, Strope PK, Skelly DA, Magwene PM, Dietrich FS, McCusker JH. RNA viruses, M satellites, chromosomal killer genes, and killer/non-killer phenotypes in the 100-genomes S. cerevisiae strains. G3 (Bethesda, Md.). PMID 37497616 DOI: 10.1093/g3journal/jkad167  0.662
2023 Aydin S, Pham DT, Zhang T, Keele GR, Skelly DA, Paulo JA, Pankratz M, Choi T, Gygi SP, Reinholdt LG, Baker CL, Churchill GA, Munger SC. Genetic dissection of the pluripotent proteome through multi-omics data integration. Cell Genomics. 3: 100283. PMID 37082146 DOI: 10.1016/j.xgen.2023.100283  0.666
2021 Yang HS, Onos KD, Choi K, Keezer KJ, Skelly DA, Carter GW, Howell GR. Natural genetic variation determines microglia heterogeneity in wild-derived mouse models of Alzheimer's disease. Cell Reports. 34: 108739. PMID 33567283 DOI: 10.1016/j.celrep.2021.108739  0.364
2020 Skelly DA, Czechanski A, Byers C, Aydin S, Spruce C, Olivier C, Choi K, Gatti DM, Raghupathy N, Keele GR, Stanton A, Vincent M, Dion S, Greenstein I, Pankratz M, et al. Mapping the Effects of Genetic Variation on Chromatin State and Gene Expression Reveals Loci That Control Ground State Pluripotency. Cell Stem Cell. PMID 32795400 DOI: 10.1016/J.Stem.2020.07.005  0.693
2020 Ortmann D, Brown S, Czechanski A, Aydin S, Muraro D, Huang Y, Tomaz RA, Osnato A, Canu G, Wesley BT, Skelly DA, Stegle O, Choi T, Churchill GA, Baker CL, et al. Naive Pluripotent Stem Cells Exhibit Phenotypic Variability that Is Driven by Genetic Variation. Cell Stem Cell. PMID 32795399 DOI: 10.1016/J.Stem.2020.07.019  0.67
2020 Choi K, Chen Y, Skelly DA, Churchill GA. Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics. Genome Biology. 21: 183. PMID 32718323 DOI: 10.1186/S13059-020-02103-2  0.353
2020 Forte E, Skelly DA, Chen M, Daigle S, Morelli KA, Hon O, Philip VM, Costa MW, Rosenthal NA, Furtado MB. Dynamic Interstitial Cell Response during Myocardial Infarction Predicts Resilience to Rupture in Genetically Diverse Mice. Cell Reports. 30: 3149-3163.e6. PMID 32130914 DOI: 10.1016/J.Celrep.2020.02.008  0.303
2019 Skelly DA, Raghupathy N, Robledo RF, Graber JH, Chesler EJ. Reference Trait Analysis Reveals Correlations Between Gene Expression and Quantitative Traits in Disjoint Samples. Genetics. PMID 31113812 DOI: 10.1534/Genetics.118.301865  0.436
2018 Vijayraghavan S, Kozmin SG, Strope PK, Skelly DA, Lin Z, Kennell J, Magwene PM, Dietrich FS, McCusker JH. Mitochondrial Genome Variation Affects Multiple Respiration and Non-respiration Phenotypes in . Genetics. PMID 30498022 DOI: 10.1534/Genetics.118.301546  0.68
2017 Bogue MA, Grubb SC, Walton DO, Philip VM, Kolishovski G, Stearns T, Dunn MH, Skelly DA, Kadakkuzha B, TeHennepe G, Kunde-Ramamoorthy G, Chesler EJ. Mouse Phenome Database: an integrative database and analysis suite for curated empirical phenotype data from laboratory mice. Nucleic Acids Research. PMID 29136208 DOI: 10.1093/Nar/Gkx1082  0.425
2017 Skelly DA, Magwene PM, Meeks B, Murphy HA. Known mutator alleles do not markedly increase mutation rate in clinical Saccharomyces cerevisiae strains. Proceedings. Biological Sciences. 284. PMID 28404772 DOI: 10.1098/Rspb.2016.2672  0.717
2015 Skelly DA, Magwene PM, Stone EA. Sporadic, Global Linkage Disequilibrium between Unlinked Segregating Sites. Genetics. PMID 26715671 DOI: 10.1534/Genetics.115.177816  0.716
2015 Skelly DA, Magwene PM. Population perspectives on functional genomic variation in yeast. Briefings in Functional Genomics. PMID 26467711 DOI: 10.1093/Bfgp/Elv044  0.731
2015 Strope PK, Kozmin SG, Skelly DA, Magwene PM, Dietrich FS, McCusker JH. 2μ plasmid in Saccharomyces species and in Saccharomyces cerevisiae. Fems Yeast Research. 15. PMID 26463005 DOI: 10.1093/Femsyr/Fov090  0.681
2015 Strope PK, Skelly DA, Kozmin SG, Mahadevan G, Stone EA, Magwene PM, Dietrich FS, McCusker JH. The 100-genomes strains, an S. cerevisiae resource that illuminates its natural phenotypic and genotypic variation and emergence as an opportunistic pathogen. Genome Research. 25: 762-74. PMID 25840857 DOI: 10.1101/Gr.185538.114  0.754
2013 Skelly DA, Merrihew GE, Riffle M, Connelly CF, Kerr EO, Johansson M, Jaschob D, Graczyk B, Shulman NJ, Wakefield J, Cooper SJ, Fields S, Noble WS, Muller EG, Davis TN, et al. Integrative phenomics reveals insight into the structure of phenotypic diversity in budding yeast. Genome Research. 23: 1496-504. PMID 23720455 DOI: 10.1101/Gr.155762.113  0.754
2013 Connelly CF, Skelly DA, Dunham MJ, Akey JM. Population genomics and transcriptional consequences of regulatory motif variation in globally diverse Saccharomyces cerevisiae strains. Molecular Biology and Evolution. 30: 1605-13. PMID 23619145 DOI: 10.1093/Molbev/Mst073  0.769
2011 Skelly DA, Johansson M, Madeoy J, Wakefield J, Akey JM. A powerful and flexible statistical framework for testing hypotheses of allele-specific gene expression from RNA-seq data. Genome Research. 21: 1728-37. PMID 21873452 DOI: 10.1101/Gr.119784.110  0.662
2009 Skelly DA, Ronald J, Connelly CF, Akey JM. Population genomics of intron splicing in 38 Saccharomyces cerevisiae genome sequences. Genome Biology and Evolution. 1: 466-78. PMID 20333215 DOI: 10.1093/Gbe/Evp046  0.762
2009 Skelly DA, Ronald J, Akey JM. Inherited variation in gene expression. Annual Review of Genomics and Human Genetics. 10: 313-32. PMID 19630563 DOI: 10.1146/Annurev-Genom-082908-150121  0.648
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