iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria
Results
CRAGE-Duet Facilitates Modular Assembly of Biological Systems for Studying Plant–Microbe Interactions
Lower viral evolutionary pressure under stable versus fluctuating conditions in subzero Arctic brines
Marine Microbe Contains Multitudes
Large-scale genomic analyses with machine learning uncover predictive patterns associated with fungal phytopathogenic lifestyles and traits
Towards optimized viral metagenomes for double-stranded and single-stranded DNA viruses from challenging soils
Microbial dark matter ecogenomics reveals complex synergistic networks in a methanogenic bioreactor
efam: an expanded, metaproteome-supported HMM profile database of viral protein families.
Coastal bacteria and protists assimilate viral carbon and nitrogen
A framework for human microbiome research
Atypical Divergence of SARS-CoV-2 Orf8 from Orf7a within the Coronavirus Lineage Suggests Potential Stealthy Viral Strategies in Immune Evasion
VPF-Class: taxonomic assignment and host prediction of uncultivated viruses based on viral protein families
