Mouse gut microbiome SAMPL-seq 16S amplicon sequencing data for the paper, "MCSPACE: inferring microbiome spatiotemporal dynamics from high-throughput co-localization data"
The goal of this project is to study the gut microbiome biogeography, and how spatial co-localizations may change as a result of perturbations. To achieve this, we collected samples from mice over time, including multiple dietary perturbations, and sequenced with SAMPL-seq, to obtain spatial co-localization data over time. The results of the experiment can then be quantitatively analyzed using computational models to assess how spatial associations may change over time in response to perturbations.