Results
… Machine learning methods were applied on sequenced fungal genomes to classify gene families. The Science As a proof of concept, researchers developed an algorithm that “taught” a computer … evolution of Dothideomycetes could provide more insights into how these fungi have adapted to stress and host …
Learn more
… JGI’s Emerging Technologies Opportunity Program (ETOP) , researchers have developed and improved upon a tool that combines existing DNA sequence binning algorithms, allowing them to reconstruct more near-complete genomes from … environmental samples of very complex microbial communities into complete or near-complete genomes to aid …
Learn more
… secondary metabolites, those molecules not essential for growth yet essential for survival, may now be easier to characterize following a proof-of-concept study in which researchers paired CRISPR and CRAGE technologies. While … to the lack of robust tools available for carrying CRISPR into microorganisms. CRAGE (Chassis-independent …
Learn more

