Adam Robbins-Pianka

TL;DR: The utility of the living data resource and cross-cohort comparison is demonstrated to confirm existing associations between the microbiome and psychiatric illness and to reveal the extent of microbiome change within one individual during surgery, providing a paradigm for open microbiome research and education.

TL;DR: A performance-optimized algorithm for assigning marker gene sequences generated on next-generation sequencing platforms to operational taxonomic units (OTUs) for microbial community analysis is presented and it is shown that subsampled open-reference OTU picking yields results that are highly correlated with those generated by “classic” open- reference OTUpicking through comparisons on three well-studied datasets.

TL;DR: The Qiita web platform provides access to large amounts of public microbial multi-omic data and enables easy analysis and meta-analysis of standardized private and public data.

TL;DR: Analysis of metagenomic sequence data revealed an increase in abundance of genes involved in denitrification pathways in samples that exceeded the Environmental Protection Agency (EPA)’s benchmarks for polycyclic aromatic hydrocarbons (PAHs) compared with those that did not.

TL;DR: In this article, the authors colonized mice with microbial communities from human, zebrafish, and termite guts, human skin and tongue, soil, and estuarine microbial mats.