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 ...

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

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 ...

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 ...

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 ...