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.
Now published at mSystems: Taylor, Megan, and N. M. Vega. 2021. “Host Immunity Alters Community Ecology and Stability of the Microbiome in a Caenorhabditis Elegans Model.” MSystems 6 (2). https://doi.org/10.1128/mSystems.00608-20.