ICT&health October 9, 2025
Journalistic Team

Researchers at ETH Zurich have developed a revolutionary digital tool that allows scientists to search through the world’s genetic data archives as easily as a web search on Google. The system, called MetaGraph, enables rapid full-text searches of global DNA and RNA databases—an innovation that could accelerate biomedical research and the development of new treatments.

For decades, DNA sequencing has driven major advances in medicine, from identifying rare hereditary diseases to decoding the SARS-CoV-2 genome. Yet the enormous volume of genomic data, over 100 petabytes stored in international archives such as the Sequence Read Archive (SRA) and European Nucleotide Archive (ENA), has made efficient searching virtually impossible. Until now, researchers needed vast computing power and time-consuming downloads to analyze data.

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