User profiles for Alec J. Coffman

Alec Coffman

University of Pennsylvania
Verified email at sas.upenn.edu
Cited by 289

Computationally efficient composite likelihood statistics for demographic inference

AJ Coffman, PH Hsieh, S Gravel… - Molecular biology and …, 2016 - academic.oup.com
Many population genetics tools employ composite likelihoods, because fully modeling genomic
linkage is challenging. But traditional approaches to estimating parameter uncertainties …

Use of QM/MM Surface Hopping Simulations to Understand Thermally Activated Rare-Event Nonadiabatic Transitions in the Condensed Phase

AJ Coffman, Z Jin, J Chen, JE Subotnik… - Journal of Chemical …, 2023 - ACS Publications
We implement a rare-event sampling scheme for quantifying the rate of thermally activated
nonadiabatic transitions in the condensed phase. Our Quantum mechanics/molecular …

[HTML][HTML] Sampling strategies for frequency spectrum-based population genomic inference

JD Robinson, AJ Coffman, MJ Hickerson… - BMC evolutionary …, 2014 - Springer
Background The allele frequency spectrum (AFS) consists of counts of the number of single
nucleotide polymorphism (SNP) loci with derived variants present at each given frequency in …

Inferring genome-wide correlations of mutation fitness effects between populations

X Huang, AL Fortier, AJ Coffman… - Molecular Biology …, 2021 - academic.oup.com
The effect of a mutation on fitness may differ between populations depending on environmental
and genetic context, but little is known about the factors that underlie such differences. …

When is electronic friction reliable for dynamics at a molecule–metal interface?

AJ Coffman, JE Subotnik - Physical Chemistry Chemical Physics, 2018 - pubs.rsc.org
We investigate rates of electron transfer for generalized Anderson–Holstein models in the
limit of weak molecule–metal coupling, using both surface hopping and electronic friction …

Triallelic population genomics for inferring correlated fitness effects of same site nonsynonymous mutations

AP Ragsdale, AJ Coffman, PH Hsieh, TJ Struck… - Genetics, 2016 - academic.oup.com
The distribution of mutational effects on fitness is central to evolutionary genetics. Typical
univariate distributions, however, cannot model the effects of multiple mutations at the same site…

[HTML][HTML] Modeling voltammetry curves for proton coupled electron transfer: The importance of nuclear quantum effects

AJ Coffman, W Dou, S Hammes-Schiffer… - The Journal of …, 2020 - pubs.aip.org
We investigate rates of proton-coupled electron transfer (PCET) in potential sweep experiments
for a generalized Anderson–Holstein model with the inclusion of a quantized proton …

[HTML][HTML] A grid-free approach for simulating sweep and cyclic voltammetry

AJ Coffman, J Lu, JE Subotnik - The Journal of Chemical Physics, 2021 - pubs.aip.org
We present a computational approach to simulate linear sweep and cyclic voltammetry
experiments that does not require a discretized grid in space to quantify diffusion. By using a …

Modeling Electron Transfer in Diffusive Multidimensional Electrochemical Systems

AJ Coffman, AK Harshan… - The Journal of …, 2019 - ACS Publications
We analyze different stochastic approaches for simulating electron transfer and potential
sweep experiments in diffusive multidimensional electrochemical systems. In particular, we …

DFEnitely different: genome-wide characterization of differences in mutation fitness effects between populations

AL Fortier, AJ Coffman, TJ Struck, MN Irby… - bioRxiv, 2019 - biorxiv.org
The effect of a mutation on fitness may differ between populations, depending on environmental
and genetic context. Experimental studies have shown that such differences exist, but …