Scalable near-real-time Bayesian phylogenetics for outbreaks with Delphy

TL;DR - Delphy is a scalable Bayesian phylogenetics method for analyzing expanding viral outbreaks in near real time. It aims to give public health organizations state-of-the-art analysis of their own outbreak data with minimal operational friction.

• Designed to scale as viral outbreak datasets grow.
• Supports near-real-time Bayesian phylogenetic analysis.
• Intended to help public health bodies analyze local data and respond rapidly.
• The provided excerpt does not include benchmarks, implementation details, or specific accuracy results.