Beyond Pango: The future of virus lineage classification
Keeping pace with ever-changing viruses is a challenge. This study unveils an automated system for classifying viral lineages based on genetics, offering a faster and more objective approach
Keeping pace with ever-changing viruses is a challenge. This study unveils an automated system for classifying viral lineages based on genetics, offering a faster and more objective approach
On One Health Day, we recognize the intricate links between human, animal, and environmental health, underscored by the emergence of novel viruses like SARS-CoV-2. This post, crafted for a lay audience, delves into the critical contributions of virus bioinformatics in understanding and combating infectious diseases. It emphasizes the importance of predicting RNA structures for understanding RNA viruses and discusses the role of genomic epidemiology in tracking viral spread and evolution
Here we study carbon catabolite repression (CCR) and its impact on antibiotic susceptibility in Pseudomonas aeruginosa
In this paper, we study the molecular epidemiology and RNA structureome diversity of tick-borne encephalitis virus (TBEV). Moreover, we propose a unified picture of pervasive non-coding RNA structure conservation across all known TBEV subtypes
The combination of molecular epidemiology data with RNA structure prediction provides insights into unresolved aspects of genotype-phenotype associations in Chikungunya virus