David M. McCandlish, Ph.D.

Affiliations: 
Biology Duke University, Durham, NC 
Area:
Paleobiology, Philosophy
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"David McCandlish"

Parents

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Paul M. Magwene grad student 2012 Duke
 (Evolution on Arbitrary Fitness Landscapes When Mutation is Weak.)
Daniel W. McShea grad student 2012 Duke
 (Evolution on Arbitrary Fitness Landscapes When Mutation is Weak.)
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Publications

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Gitschlag BL, Cano AV, Payne JL, et al. (2023) Mutation and Selection Induce Correlations between Selection Coefficients and Mutation Rates. The American Naturalist. 202: 534-557
Weinstein JY, Martí-Gómez C, Lipsh-Sokolik R, et al. (2023) Designed active-site library reveals thousands of functional GFP variants. Nature Communications. 14: 2890
Avizemer Z, Martí-Gómez C, Hoch SY, et al. (2023) Evolutionary paths that link orthogonal pairs of binding proteins. Research Square
Cano AV, Gitschlag BL, Rozhoňová H, et al. (2023) Mutation bias and the predictability of evolution. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 378: 20220055
Zhou J, Wong MS, Chen WC, et al. (2022) Higher-order epistasis and phenotypic prediction. Proceedings of the National Academy of Sciences of the United States of America. 119: e2204233119
Cano AV, Rozhoňová H, Stoltzfus A, et al. (2022) Mutation bias shapes the spectrum of adaptive substitutions. Proceedings of the National Academy of Sciences of the United States of America. 119
McCandlish DM, Lang GI. (2020) Evolution of Epistasis: Small Populations Go Their Separate Ways. Journal of Molecular Evolution. 88: 418-420
Zhou J, McCandlish DM. (2020) Minimum epistasis interpolation for sequence-function relationships. Nature Communications. 11: 1782
Storz JF, Natarajan C, Signore AV, et al. (2019) The role of mutation bias in adaptive molecular evolution: insights from convergent changes in protein function. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 374: 20180238
Kinney JB, McCandlish DM. (2019) Massively Parallel Assays and Quantitative Sequence-Function Relationships. Annual Review of Genomics and Human Genetics
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