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This software leverages machine learning and Nanopore direct sequencing to identify over 100 RNA modifications from genomic data without extensive lab intervention, effectively treating chemical changes as subtle signal disruptions rather than noise. By repurposing existing AI tools, the system accelerates research into disease susceptibility and mRNA vaccine efficacy by decoding a previously hidden layer of biological information that impacts cellular function.

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xPore Software Detects Over 100 RNA Modifications With AI

Quantum ZeitgeistJuly 26, 20263 min read

xPore software, developed by A*STAR’s GIS, uses artificial intelligence to detect over 100 RNA modifications from genomic data, revealing a hidden layer impacting RNA function.

Researchers at the Agency for Science, Technology and Research’s Genome Institute of Singapore have developed xPore, software that identifies over 100 RNA modifications within genomic data using artificial intelligence. These RNA modifications represent a “hidden layer of information” beyond the standard RNA sequence, impacting cellular function and potentially linking to disease risk and mRNA vaccine development. Unlike previous methods requiring extensive lab…

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