John A. Capra, Ph.D.

Affiliations: 
2009 Princeton University, Princeton, NJ 
Area:
Computational molecular biology, as well as its interface with machine learning and algorithms.
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"John Capra"

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Mona Singh grad student 2009 Princeton
 (Algorithms for the identification of functional sites in proteins.)
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Publications

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Velazquez-Arcelay K, Colbran LL, McArthur E, et al. (2023) Archaic Introgression Shaped Human Circadian Traits. Genome Biology and Evolution. 15
Brand CM, Colbran LL, Capra JA. (2023) Resurrecting the alternative splicing landscape of archaic hominins using machine learning. Nature Ecology & Evolution
Fong SL, Capra JA. (2022) Function and Constraint in Enhancer Sequences with Multiple Evolutionary Origins. Genome Biology and Evolution. 14
Li B, Jin B, Capra JA, et al. (2022) Integration of Protein Structure and Population-Scale DNA Sequence Data for Disease Gene Discovery and Variant Interpretation. Annual Review of Biomedical Data Science
Brand CM, Colbran LL, Capra JA. (2022) Predicting Archaic Hominin Phenotypes from Genomic Data. Annual Review of Genomics and Human Genetics
Colbran LL, Johnson MR, Mathieson I, et al. (2022) Tracing the Evolution of Human Gene Regulation and Its Association with Shifts in Environment. Genome Biology and Evolution. 13
Fong SL, Capra JA. (2021) Modeling the evolutionary architectures of transcribed human enhancer sequences reveals distinct origins, functions, and associations with human-trait variation. Molecular Biology and Evolution
Tang ZZ, Sliwoski GR, Chen G, et al. (2020) PSCAN: Spatial scan tests guided by protein structures improve complex disease gene discovery and signal variant detection. Genome Biology. 21: 217
Tilden DR, Sheehan JH, Newman JH, et al. (2020) Phenotypic Profiling in Subjects Heterozygous for 1 of 2 Rare Variants in the Hypophosphatasia Gene (). Journal of the Endocrine Society. 4: bvaa084
Rinker DC, Simonti CN, McArthur E, et al. (2020) Neanderthal introgression reintroduced functional ancestral alleles lost in Eurasian populations. Nature Ecology & Evolution
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