Jeffrey Jensen
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Center for Evolution & Medicine LSC 222 MC: 1701 Tempe, AZ 85287-1701
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Mail code: 4501Campus: Tempe
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Jeff Jensen is a population geneticist and Professor in the ASU School of Life Sciences, the Center for Evolution and Medicine, and the Center for Mechanisms of Evolution.
The Jensen Lab develops theory and statistical methodology for describing and quantifying evolutionary processes, and analyzes population sequencing data to study the relative roles of these processes.
- Postdoctoral. NSF Biological Informatics Fellow, UCSD and UC Berkeley. 2007-2009
- Ph.D. Molecular Biology & Genetics, Cornell Univ. 2002-2006
- BS/BA Evolutionary Biology / Biological Anthropology, Univ of Arizona. 1998-2002
We are a computational lab, using a variety of approaches from population genetics in order to study fundamental evolutionary processes. This line of research involves developing theory, as well as likelihood- and approximate Bayesian- based statistical approaches, for quantifying and untangling the evolutionary pressures driving natural populations.
Biomedicine & Biotechnology
20 Representative Lab Publications:
- Soni, Pfeifer, & Jensen. 2024. The effect of mutation and recombination rate heterogeneity on the inference of demography and the distribution of fitness effects. Genome Biology & Evolution.
- Soni, Johri, & Jensen. 2023. Evaluating power to detect recurrent selective sweeps under increasingly realistic evolutionary null models. Evolution.
- Johri, Pfeifer, & Jensen. 2023. Developing an evolutionary baseline model for humans: jointly inferring purifying selection with population history. Molecular Biology & Evolution.
- Terbot, Johri, Liphardt, Soni, Pfeifer, Cooper, Good, & Jensen. 2023. Developing an appropriate evolutionary baseline model for the study of SARS-CoV-2 patient samples. PLoS Pathogens.
- Charlesworth & Jensen. 2022. How can we resolve Lewontin’s Paradox? Genome Biology & Evolution.
- Johri, Aquadro, Beaumont, Charlesworth, Excoffier, Eyre-Walker, Keightley, Lynch, McVean, Payseur, Pfeifer, Stephan, & Jensen. 2022. Recommendations for improving statistical inference in population genomics. PLoS Biology.
- Johri, Charlesworth, Howell, Lynch, & Jensen. 2021. Revisiting the notion of deleterious sweeps. Genetics.
- Charlesworth & Jensen. 2021. Effects of selection at linked sites on patterns of genetic variability. Annual Review of Ecology, Evolution, and Systematics.
- Johri, Riall, Becher, Excoffier, Charlesworth, & Jensen. 2021. The impact of purifying and background selection on the inference of population history: problems and prospects. Molecular Biology & Evolution.
- Johri, Charlesworth, & Jensen. 2020. Towards an evolutionarily appropriate null model: jointly inferring demography and purifying selection. Genetics.
- Sackman, Harris, & Jensen. 2019. Inferring demography and selection in organisms characterized by skewed offspring distributions. Genetics.
- Jensen, Payseur, Stephan, Aquadro, Lynch, Charlesworth, & Charlesworth. 2019. The importance of the Neutral Theory in 1968 and 50 years on: a response to Kern & Hahn 2018. Evolution.
- Harris, Sackman, & Jensen. 2018. On the unfounded enthusiasm for soft selective sweeps II: examining recent evidence from humans, flies, and viruses. PLoS Genetics.
- Matuszewski, Hildebrandt, Achaz, & Jensen. 2018. Coalescent processes with skewed offspring distributions and non-equilibrium demography. Genetics.
- Bank, Matuszewski, Hietpas, & Jensen. 2016. On the (un)predictability of a large intragenic fitness landscape. PNAS.
- Bank, Renzette, Liu, Matuszewski, Shim, Foll, Bolon, Zeldovich, Kowalik, Finberg, Wang, & Jensen. 2016. An experimental evaluation of drug induced mutational meltdown as an antiviral treatment strategy. Evolution.
- Ewing & Jensen, 2016. The consequences of not accounting for background selection in demographic inference. Molecular Ecology.
- Jensen. 2014. On the unfounded enthusiasm for soft selective sweeps. Nature Communications.
- Bank, Hietpas, Wong, Bolon, & Jensen. 2014. A Bayesian MCMC approach to assess the complete distribution of fitness effects of new mutations: uncovering the potential for adaptive walks in challenging environments. Genetics.
- Foll, Poh, Renzette, Ferrer-Admetlla, Shim, Malaspinas, Ewing, Bank, Liu, Wegmann, Caffrey, Zeldovich, Bolon, Wang, Kowalik, Schiffer, Finberg, & Jensen. 2014. Influenza virus drug resistance: a time-sampled population genetics perspective. PLoS Genetics.
Courses
2024 Fall
Course Number | Course Title |
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BIO 493 | Honors Thesis |
2024 Spring
Course Number | Course Title |
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BIO 492 | Honors Directed Study |
2023 Fall
Course Number | Course Title |
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BIO 493 | Honors Thesis |
2023 Spring
Course Number | Course Title |
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BIO 492 | Honors Directed Study |
ASM 446 | Principles of Human Genetics |
BIO 446 | Principles of Human Genetics |
BIO 546 | Principles of Human Genetics |
2022 Fall
Course Number | Course Title |
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BIO 493 | Honors Thesis |
BIO 498 | Pro-Seminar |
BIO 591 | Seminar |
EVO 598 | Special Topics |
EVO 498 | Pro-Seminar |
2022 Spring
Course Number | Course Title |
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BIO 492 | Honors Directed Study |
2021 Fall
Course Number | Course Title |
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BIO 493 | Honors Thesis |
2021 Spring
Course Number | Course Title |
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BIO 492 | Honors Directed Study |
BIO 591 | Seminar |
BIO 498 | Pro-Seminar |
2020 Fall
Course Number | Course Title |
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BIO 493 | Honors Thesis |
BIO 498 | Pro-Seminar |
BIO 591 | Seminar |
EVO 498 | Pro-Seminar |
EVO 598 | Special Topics |
2020 Spring
Course Number | Course Title |
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BIO 492 | Honors Directed Study |
2019 Fall
Course Number | Course Title |
---|---|
BIO 493 | Honors Thesis |
BIO 498 | Pro-Seminar |
BIO 591 | Seminar |
EVO 498 | Pro-Seminar |
EVO 598 | Special Topics |