Dan Skelly
Senior Computational Scientist
The Jackson Laboratory
I am a biologist and data scientist who uses single cell functional genomics to understand the genetic basis of complex traits. I utilize genetically diverse model organism populations together with the methodology of statistical and quantitative genetics to reveal novel mechanistic insights into the biology of these traits. My background and interests include cancer, cardiovascular disease, diabetes, and obesity/metabolic disorders.
Interests
- Single cell functional genomics
- Statistical and computational biology
- Population, evolutionary, and quantitative genetics
- Data science
Education
PhD in Genome Sciences, 2012
University of Washington
BS in Zoology, 2005
University of Wisconsin
Recent Publications
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(2021).
Genetic control of pluripotency epigenome determines differentiation bias in mouse embryonic stem cells.
bioRxiv.
(2020).
Proteomic and transcriptomic profiling reveal different aspects of aging in the kidney.
bioRxiv.
(2020).
Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics.
Genome biology.
(2020).
Cross-Priming Dendritic Cells Exacerbate Immunopathology after Ischemic Tissue Damage in the Heart.
Circulation.
(2020).
Dynamic interstitial cell response during myocardial infarction predicts resilience to rupture in genetically diverse mice.
Cell reports.
(2020).
Improved mouse models and advanced genetic and genomic technologies for the study of neutrophils.
Drug discovery today.
(2020).
Mapping the effects of genetic variation on chromatin state and gene expression reveals loci that control ground state pluripotency.
Cell Stem Cell.
(2020).
Anti-integrin α v therapy improves cardiac fibrosis after myocardial infarction by blunting cardiac PW1+ stromal cells.
Scientific Reports.
(2020).
Natural genetic variation determines microglia heterogeneity in wild-derived mouse models of Alzheimer's disease.
Available at SSRN 3650597.
(2020).
Naive pluripotent stem cells exhibit phenotypic variability that is driven by genetic variation.
Cell stem cell.
(2019).
Genetic variation influences pluripotent ground state stability in mouse embryonic stem cells through a hierarchy of molecular phenotypes.
bioRxiv.