Deeplasmid: deep learning accurately separates plasmids from bacterial chromosomes
Results
Information theory and machine learning illuminate large‐scale metabolomic responses of Brachypodium distachyon to environmental change
Machine learning sheds light on microbial dark proteins
Lessons from Two Design–Build–Test–Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning
EnZymClass: Substrate specificity prediction tool of plant acyl-ACP thioesterases based on ensemble 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
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa
Correlation-based network analysis combined with machine learning techniques highlight the role of the GABA shunt in Brachypodium sylvaticum freezing tolerance
Integrating chromatin conformation information in a self-supervised learning model improves metagenome binning
Celebrating a Decade of Science through the JGI-UC Merced Genomics Internship Program
New Lineages of Life Group
