Empowering Efficient Phylogenetic Network Analysis through High-Performance Computing

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Excited to share our new preprint on bioRxiv!

HP2NET: Empowering Efficient Phylogenetic Network Analysis through High-Performance Computing

HP2NET is a high-performance computing framework for phylogenetic network analysis. It integrates tools like PhyloNetworks and PhyloNet into five parallel workflows. We tested it on Dengue virus genomes and cut total runtime by over 90% compared to sequential execution.

This work is a true international collaboration. Our team spans Brazil and the United States. It brings together the National Laboratory of Scientific Computing (LNCC), the Federal Center for Technological Education Celso Suckow da Fonseca (CEFET/RJ), and the University of North Carolina at Charlotte. Experiments were run on the Santos Dumont supercomputer at LNCC.

Huge thanks to my coauthors Rafael Terra, Diego Carvalho, Carla Osthoff, and Kary Ocaña for making this happen across borders and time zones.

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