Junna Kawasaki

ViroChart maps host responses from virome RNA-seq data to identify phenotypic profiles of viruses, revealing host response patterns in animal infections.

The paper develops a host-response-based framework to detect viral infections by analyzing ISG expression in RNA-seq data from diverse species, revealing hidden infections missed by conventional methods.

The paper identifies breed-specific genetic diseases in dogs using a genotype-first approach, finding pathogenic variants linked to cancer and other conditions.

This study improves machine learning models for predicting zoonotic virus infectivity by expanding datasets and using large language models, showing better performance for segmented RNA viruses and post-2018 emerging viruses.

This study examines the role of antigenomic PE2 in Sosuga virus replication, showing it enhances minigenome activity and encodes a conserved motif in the L protein.