Medical Xpress

Machine learning algorithm brings long-read sequencing to the clinic

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.
Medical Xpress

Integrative exome sequencing and machine learning identify new genes contributing to systemic sclerosis risk

Systemic sclerosis (SSc) is a severe autoimmune disease with complex genetic causes. Some genetic contributors have been identified, but others remain unknown, which has impeded development of ...
Hosted on MSN

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
Nasdaq

PacBio and Google Collaborate to Use Machine Learning to Optimize Long-Read Sequencing Data Analysis

Initial proof-of-concept work suggests strong potential to further improve PacBio’s highly accurate HiFi Sequencing with Google deep learning technologies MENLO PARK, Calif., Jan. 11, 2022 (GLOBE ...
EurekAlert!

Machine learning algorithm brings long-read sequencing to the clinic

Researchers at EMBL’s European Bioinformatics Institute (EMBL-EBI) have developed a new machine learning method called SAVANA that significantly reduces sequencing errors for cancer genomes. Long-read ...