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Proteogenomics Algorithm Improves the Detection of Hidden Genetic Mutations

Proteogenomics Algorithm Improves the Detection of Hidden Genetic Mutations

Researchers from the University of California, Los Angeles, and University of Toronto have developed an algorithm that effectively improves the detection of hidden protein variants linked to disease. The algorithm, known as moPepGen, can analyse complex protein variations and offer insights into genetic changes, displaying potential in areas such as cancer research and neurodegenerative diseases. The algorithm has been successful in identifying previously undetectable protein variations in tests.

Source: www.genengnews.com –

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