SCITE-RNA is our new method for phylogenetic tree inference from single-cell RNA sequencing data. By alternating between cell lineage and mutation tree representations, it can escape local optima and allows us to link phylogenies and gene expression profiles. Read the article: https://rdcu.be/fot5N
We are excited to share that our paper “Wastewater-based sequencing of respiratory syncytial virus to investigate lineage dynamics and antigenic site mutations: a retrospective genomic epidemiology study” is now published in The Lancet Microbe. You can check out our published paper under the link: https://www.sciencedirect.com/science/article/pii/S2666524726000108
Congratulations to Xiang Ge Luo for winning the ETH Medal 2025 for her doctoral thesis, “Modeling tumor mutation trees for evolution-guided precision oncology”! https://www.research-collection.ethz.ch/entities/publication/a70802ed-0912-491f-86fb-0faf06281c93