Insights into the phylogeny and coding potential of microbial dark matter
Results
Lessons from Two Design–Build–Test–Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning
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
Dynamic root exudate chemistry and microbial substrate preferences drive patterns in rhizosphere microbial community assembly
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
Into the darkness: the ecologies of novel ‘microbial dark matter’ phyla in an Antarctic lake
Influence of the polar light cycle on seasonal dynamics of an Antarctic lake microbial community
MArVD2: a machine learning enhanced tool to discriminate between archaeal and bacterial viruses in viral datasets
Giant Bacteria Found in Guadeloupe Mangroves Challenge Traditional Concepts
JGI Accepts 17 Proposals for Community Science Program
