Large-scale genomic analyses with machine learning uncover predictive patterns associated with fungal phytopathogenic lifestyles and traits
Results
JGI Workshop at 2025 Aquatic Sciences Meeting
ORT: A workflow linking genome-scale metabolic models with reactive transport codes.
Assembly of 500,000 inter-specific catfish expressed sequence tags and large scale gene-associated marker development for whole genome association studies
Development of a Freeze-Dried CRISPR-Cas12 Sensor for Detecting Wolbachia in the Secondary Science Classroom
JGI Snapshot
Fine-scale variation in meiotic recombination in Mimulus inferred from population shotgun sequencing
Refinement of the “Candidatus Accumulibacter” genus based on metagenomic analysis of biological nutrient removal (BNR) pilot-scale plants operated with reduced aeration
Large-Scale Analyses of Human Microbiomes Reveal Thousands of Small, Novel Genes
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
A Genomic Catalog of Stress Response Genes in Anaerobic Fungi for Applications in Bioproduction
