Evan McCartney‐Melstad

NewtCap is a target capture method for Salamandridae genomes, effective across multiple lineages but not other salamander families, enabling phylogenomics and conservation studies.

This paper introduces a machine learning method to estimate cross-sample contamination from variant call data using a support vector regression model trained on simulated datasets.

The paper uses genomic data from Mojave desert tortoises to infer demographic parameters in a spatially explicit ecological model, showing a simple statistical method can estimate population density and migration distance within 10% accuracy.

This study uses genomic data to show that roads fragment populations of endangered salamanders, with genetic structure linked to both geographic distance and road presence.

This paper analyzes the conservation genomics and landscape genomics of the Mojave desert tortoise to assess the impacts of proposed renewable energy developments on gene flow and genetic diversity.