Roger G. Linington

TL;DR: A novel algorithm is used to systematically identify BGCs in the extensive extant microbial sequencing data, indicating for the first time the important roles these compounds play in Gram-negative cell biology.

TL;DR: The steps required to create high-quality image-based (i.e., morphological) profiles from a collection of microscopy images are introduced and techniques that have proven useful in each stage of the data analysis process are recommended on the basis of the experience of 20 laboratories worldwide that are refining their image- based cell-profiling methodologies.

TL;DR: It is discovered that BGCs for a class of antibiotics in clinical trials, thiopeptides, are widely distributed in genomes and metagenomes of the human microbiota, and they demonstrate the bacterial production of drug-like molecules in humans.

TL;DR: MIBiG 2.0 is presented, which encompasses major updates to the schema, the data, and the online repository itself, and improves the user experience by adding new features such as query searches and a statistics page, and enabled direct link-outs to chemical structure databases.