Detect RNA Modifications with AI/DL & Nanopore Sequencing
Detection of RNA Modifications at a Single Molecule-level with Nanopore Sequencing
Tags: Australian National University, Australia, Computing Technology, Healthcare & Lifesciences
ANU has developed a computational algorithm to detect RNA modifications via nanopore sequencing, enhancing our understanding of gene expression. This software identifies over 150 RNA modifications, vital for studying RNA's role in health and disease. It utilizes deep learning for signal analysis, offering unprecedented accuracy in modifications like m6A and m5C. Applications include vaccine and drug design, diagnostics, and gene therapy. This tool marks a significant advance in biotechnology and molecular research.
IP Type or Form Factor: Patent Pending; Software & Algorithm
TRL: 5 - prototype ready for testing in intended environment
Industry or Tech Area: Big Data Analytics & Simulations; Biotechnology
