Large-scale genomic analyses with machine learning uncover predictive patterns associated with fungal phytopathogenic lifestyles and traits
Results
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
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 standard operating procedure of the DOE-JGI Microbial Genome Annotation Pipeline (MGAP v.4)
RegPrecise 3.0 – A resource for genome-scale exploration of transcriptional regulation in bacteria
A Genomic Catalog of Stress Response Genes in Anaerobic Fungi for Applications in Bioproduction
Genome-Scale Data Call for a Taxonomic Rearrangement of Geodermatophilaceae
