Fiona S. L. Brinkman

TL;DR: It is proposed that the size and complexity of the P. aeruginosa genome reflect an evolutionary adaptation permitting it to thrive in diverse environments and resist the effects of a variety of antimicrobial substances.

TL;DR: This work developed PSORTb version 3.0 with improved recall, higher proteome-scale prediction coverage, and new refined localization subcategories, and evaluated the most accurate SCL predictors using 5-fold cross validation plus an independent proteomics analysis.

TL;DR: The Comprehensive Antibiotic Resistance Database (CARD) is a manually curated resource containing high quality reference data on the molecular basis of antimicrobial resistance (AMR), with an emphasis on the genes, proteins and mutations involved in AMR.

TL;DR: A new Resistomes & Variants module provides analysis and statistical summary of in silico predicted resistance variants from 82 pathogens and over 100 000 genomes, able to summarize predicted resistance using the information included in CARD, identify trends in AMR mobility and determine previously undescribed and novel resistance variants.

TL;DR: To understand the biology and evolution of ruminants, the cattle genome was sequenced to about sevenfold coverage and provides a resource for understanding mammalian evolution and accelerating livestock genetic improvement for milk and meat production.