Data mining sheds light on a novel family of plant-associated negative-sense RNA viruses linked to lispiviruses
Large-scale mining of public transcriptomic datasets can reveal viral diversity that remains invisible to conventional virus-surveillance approaches, while increasingly powerful structure-prediction methods provide a complementary route to characterizing highly divergent viral proteins. Here, we combine sequence detect...