Inferring the evolutionary history of tumours from single-cell data: Happy to share a timely review article to shed light upon common applications, model assumptions and inference methods, as well as our perspective on the future of the field: https://rdcu.be/JobFuDvKDLga
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