J. L. Beck

aniSNA : An R package to assess bias and uncertainty in social networks obtained from animals sampled via direct observations or satellite telemetry

aniSNA assesses bias and uncertainty in animal social networks from telemetry data, enabling reliable network metrics and robust analysis.

Assessing bias and robustness of social network metrics using GPS based radio-telemetry data

This study evaluates the bias and robustness of social network metrics using GPS telemetry data from five ungulate species, showing that global metrics are robust while local metrics are unreliable with low sampling.

A mechanism for the extension and unfolding of parallel telomeric G-quadruplexes by human telomerase at single-molecule resolution

This study uses single-molecule techniques to show that telomerase can extend and unfold parallel telomeric G-quadruplexes, revealing it acts as a resolvase.