Our investigation of the statistical properties of count-based data (specifically worm bacterial load measurements) in biological averaging is up on bioRxiv: Taylor, Megan, and Nic Vega. 2022. “Batching Inflates Error Rates in Microbial Colonization of Caenorhabditis Elegans: An Empirical Investigation of the Statistical Properties of Count-Based Data.” bioRxiv. https://doi.org/10.1101/2022.07.25.501406.
New paper on single-worm protocols at JoVE! Taylor, Megan, Satya Spandana Boddu, and Nic Vega. 2022. “Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis Elegans-Bacterial Interactions | Protocol.” Journal of Visualized Experiments : JoVE. https://doi.org/10.3791/64027.
Our paper “Stochastic Assembly Produces Heterogeneous Communities in the C. elegans Intestine” has been accepted for publication at PLOS Biology! The preprint manuscript is hosted on bioRxiv (BIORXIV/2016/067173).