Gavin M. Douglas

TL;DR: QIIME 2 development was primarily funded by NSF Awards 1565100 to J.G.C. and R.K.P. and partial support was also provided by the following: grants NIH U54CA143925 and U54MD012388.

TL;DR: The PICRUSt2 algorithm includes steps that optimize genome prediction, including placing sequences into a reference phylogeny rather than relying on predictions limited to reference OTUs, and basing predictions on a larger database of reference genomes and gene families, and enabling predictions of complex phenotypes and integration of custom databases.

TL;DR: QIIME 2 provides new features that will drive the next generation of microbiome research, including interactive spatial and temporal analysis and visualization tools, support for metabolomics and shotgun metagenomics analysis, and automated data provenance tracking to ensure reproducible, transparent microbiome data science.

TL;DR: A comprehensive analysis of the tumor microbiome was undertaken, studying 1526 tumors and their adjacent normal tissues across seven cancer types, finding that each tumor type has a distinct microbiome composition and that breast cancer has a particularly rich and diverse microbiome.

TL;DR: A streamlined and custom approach to processing samples from detailed sequencing library construction to step-by-step bioinformatic standard operating procedures allows for rapid and reliable microbiome analysis, allowing researchers to focus more on their experiment design and results.