New Long-Read Sequencing Tool Targets Difficult-to-Detect Cancer Mutations
Identifying cancer-related mutations can be challenging, particularly when they occur at low levels or in complex regions of the genome. While short-read sequencing is commonly used for analyzing DNA, it has limitations when examining complex or repetitive regions of a genome. Long-read sequencing can help, but there is still a higher error rate compared to short-read sequencing. Researchers at The University of Hong Kong addressed this gap with ClairS, a tool designed to identify small cancer-related genetic mutations.