Jeffrey D. Jensen

Interpreting patterns of X chromosomal relative to autosomal diversity in aye-ayes(Daubentonia madagascariensis)

The paper analyzes X chromosomal diversity in aye-ayes, finding no sex-specific demographic patterns and no evidence for recent selective sweeps.

On the (un-)predictability of a large intragenic fitness landscape

The paper analyzes a large multi-allelic fitness landscape in yeast Hsp90 to assess the predictability of evolution, finding local ruggedness and epistatic hotspots hinder extrapolation.

An experimental evaluation of drug-induced mutational meltdown as an antiviral treatment strategy

This study evaluates favipiravir's effectiveness against influenza A virus by analyzing mutation rates and population dynamics under varying drug concentrations.

A statistical guide to the design of deep mutational scanning experiments

This paper provides statistical guidelines for optimizing deep mutational scanning experiments by analyzing time-sampled bulk competition data.

On the importance of skewed offspring distributions and background selection in viral population genetics

The paper discusses the impact of skewed offspring distributions and background selection on viral population genetics and highlights challenges in genetic inference.

A systematic survey of an intragenic epistatic landscape

The paper analyzes intragenic epistatic effects in yeast Hsp90 mutants, finding common negative epistasis and rare positive epistasis, suggesting a concave fitness landscape and mutational robustness.

Human Cytomegalovirus Intrahost Evolution--A New Avenue for Understanding and Controlling Herpesvirus Infections

This paper reviews recent data on HCMV intrahost evolution over short timescales and discusses its implications for infection and pathogenesis.

On the unfounded enthusiasm for soft selective sweeps

This paper critiques the overestimation of soft selective sweeps in explaining adaptation patterns in humans and Drosophila, highlighting empirical challenges to these models.

WFABC: a Wright-Fisher ABC-based approach for inferring effective population sizes and selection coefficients from time-sampled data

The paper compares ABC-based methods for inferring population genetic parameters from time-sampled data and demonstrates the effectiveness of a new approach for estimating effective population size and selection coefficients.