Software rapidly tracks viral variants with high accuracy to aid outbreak responses
It was mid-2020, and Patrick Varilly, a software engineer and data scientist, was stuck at home, eager to help the world navigate the ongoing COVID-19 pandemic. He reconnected with Pardis Sabeti, a core institute member of the Broad Institute who was at the forefront of analyzing how the SARS-CoV-2 virus was spreading, and with Ben Fry, her longstanding collaborator and principal at Fathom…
In mid-2020, Patrick Varilly, a software engineer and data scientist, sought to assist the global response to the COVID-19 pandemic. Varilly reunited with Pardis Sabeti, a prominent researcher at the Broad Institute, and Ben Fry, a collaborator and software firm principal. The trio, previously connected at MIT, aimed to enhance the speed and accessibility of phylogenetic analysis of SARS-CoV-2 genomes.
Delphy, a new platform developed by Varilly, Sabeti, and Fry, significantly accelerates phylogenetic tree creation for viral sequences. The platform operates within a web browser, allowing users to input sequence data and generate trees in a matter of hours, rather than months. Delphy's efficiency and accuracy were demonstrated by the ability to analyze 100,000 sequences 100-1,000 times faster than existing methods while maintaining comparable accuracy in lineage, mutation, and timing estimates.
The platform empowers public health teams to perform advanced analyses without specialized training or infrastructure, enabling rapid outbreak response. Delphy's local computation ensures sequence data privacy, allowing analysis without an internet connection. The researchers applied Delphy to recent outbreaks, including Ebola, Zika, SARS-CoV-2, mpox, and H5N1, confirming its accuracy and efficiency.
By democratizing access to sophisticated phylogenetic analysis, Delphy aims to enhance public health interventions and facilitate faster outbreak containment.
Written by urgent.news from Medical Xpress's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
