Sequence analysis is a cornerstone of modern bioinformatics, encompassing the computational exploration of biological sequences—be they DNA, RNA or proteins—to reveal insights into structure, function ...

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

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

A new collaboration brings together a world-leading interdisciplinary team with skills across quantum computing, genomics, and advanced algorithms. They aim to tackle one of the most challenging ...

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

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

In a way, sequencing DNA is very simple: There's a molecule, you look at it, and you write down what you find. You'd think it would be easy—and, for any one letter in the sequence, it is. The problem ...

The landscape of next-generation sequencing (NGS) continues to be defined by astonishing technological progress. We continue to witness sequencer throughput expansion with systems like the Illumina ...

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 ...