Viral dark matter and virus–host interactions resolved from publicly available microbial genomes
Results
Impact of single-cell genomics and metagenomics on the emerging view of extremophile “microbial dark matter”
Information theory and machine learning illuminate large‐scale metabolomic responses of Brachypodium distachyon to environmental change
Insights into the phylogeny and coding potential of microbial dark matter
Lessons from Two Design–Build–Test–Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning
Dynamic root exudate chemistry and microbial substrate preferences drive patterns in rhizosphere microbial community assembly
Large-scale genomic analyses with machine learning uncover predictive patterns associated with fungal phytopathogenic lifestyles and traits
Machine learning-based prediction of activity and substrate specificity for OleA enzymes in the thiolase superfamily
Shed Light in the DaRk LineagES of the Fungal Tree of Life—STRES
Correlation-based network analysis combined with machine learning techniques highlight the role of the GABA shunt in Brachypodium sylvaticum freezing tolerance
Giant Bacteria Found in Guadeloupe Mangroves Challenge Traditional Concepts
JGI Accepts 17 Proposals for Community Science Program
