This preprint seems like it may be of interest to folks: Precise prediction of antibiotic resistance in Escherichia coli from full genome sequences | bioRxiv Basically, the authors showed that, using a machine learning approach, they can quite accurately predict antibiotic resistance in E. coli from whole genome data. The emergence of microbial antibiotic resistance …
There is an increasing number of studies with a large number genomes recovered from isolate, metagenome, or single cell sequencing. To bridge the gap between the available genome sequences and available phenotype information, we have developed Traitar, a bioinformatics software to phenotype bacteria based on their genome sequence (see workflow below) . Traitar includes phenotype models for …
This may be of interest to some here. I made a Storify of the Tweets from the “Future Proofing Law” symposium that was at UC Davis yesterday and the day before. There were multiple biotech. themed sessions and presentations as well as discussions of many topics connected to microBEnet in various ways such as open …