JGI Snapshot
Results
Information theory and machine learning illuminate large‐scale metabolomic responses of Brachypodium distachyon to environmental change
The DOE-JGI Standard Operating Procedure for the Annotations of Microbial Genomes
Shotgun metagenome data of a defined mock community using Oxford Nanopore, PacBio and Illumina technologies
JGI Workshop at 2025 Aquatic Sciences Meeting
Machine learning-based prediction of activity and substrate specificity for OleA enzymes in the thiolase superfamily
The standard operating procedure of the DOE-JGI Microbial Genome Annotation Pipeline (MGAP v.4)
Machine Learning Reveals Signatures of Promiscuous Microbial Amidases for Micropollutant Biotransformations
JGI at the AGU Fall Meeting
Correlation-based network analysis combined with machine learning techniques highlight the role of the GABA shunt in Brachypodium sylvaticum freezing tolerance
The standard operating procedure of the DOE-JGI Metagenome Annotation Pipeline (MAP v.4)
Forest Fungi, Seagrass, and a New View of Symbiosis
