A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Phylogenetic analysis and DNA sequence representation are foundational pillars in modern molecular biology and bioinformatics. These approaches not only facilitate the reconstruction of evolutionary ...

Antibodies are the immune system's precision tools for recognizing and neutralizing viruses, bacteria and other foreign ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

As high-throughput genomic sequencing generates increasing data volumes, researchers face challenges in identifying functional gene regions within DNA ...

Genetic variants that cause rare disorders may remain elusive even after expansive testing, such as exome sequencing. The diagnostic yield of genome sequencing, particularly after a negative ...

A whole-genome sequencing approach shows early promise over current commercial methods for identifying more patients likely to benefit from PARP inhibitor cancer treatments, according to a study led ...

By cleverly combining new techniques for analysing DNA at the level of individual molecules, we can achieve real breakthroughs in research into ...

Around 15% of hereditary diseases and cancers are associated with alternative RNA splicing, while the development of 1 in 6 cancers is driven by gene fusions. Isolating RNA from individual cells is a ...

A new study published in Addiction has identified genetic factors that influence both a person's risk of developing an addiction and their educational attainment. Researchers found that some genetic ...

Market opportunities include leveraging advancements in AI and machine learning to enhance microbiome data analysis, ...