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.
I am very pleased to be speaking at the Boston Bacterial Meeting (June 15-16, Harvard University) and the 2017 C. elegans International Meeting at UCLA!
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).
I will be presenting at qBio 2014 this summer in Santa Fe! Also look for a poster by graduate student Eugene Yurtsev.