Highlights d DoubletDecon uses deconvolution to identify and remove doublets in scRNA-seq data d Retention of doublets can confound data analysis and cell population identification d DoubletDecon limits erroneous removal of transitional and progenitor cells d The algorithm identifies unique doublets relative to alternative approaches

Objective The study sought to create an online resource that informs the public of coronavirus disease 2019 (COVID-19) outbreaks in their area. Materials and Methods This R Shiny application aggregates data from multiple resources that track COVID-19 and visualizes them through an interactive, online dashboard. Results The Web resource, called the COVID-19 Watcher, can be accessed online (https://covid19watcher.research.cchmc.org/). It displays COVID-19 data from every county and 188 metropolitan areas in the United States. Features include rankings of the worst-affected areas and auto-generating plots that depict temporal changes in testing capacity, cases, and deaths. Discussion The Centers for Disease Control and Prevention does not publish COVID-19 data for local municipalities, so it is critical that academic resources fill this void so the public can stay informed. The data used have limitations and likely underestimate the scale of the outbreak. Conclusions The COVID-19 Watcher can provide the public with real-time updates of outbreaks in their area.

Antimicrobial resistance (AMR) is a major health concern worldwide. A better understanding of the underlying molecular mechanisms is needed. Advances in whole genome sequencing and other high-throughput unbiased instrumental technologies to study the molecular pathogenicity of infectious diseases enable the accumulation of large amounts of data that are amenable to bioinformatic analysis and the discovery of new signatures of AMR. In this work, we review representative methods published in the past five years to define major approaches developed to-date in the understanding of AMR mechanisms. Advantages and limitations for applications of these methods in clinical laboratory testing and basic research are discussed.