A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Research from Umeå University paves the way for a quantitative data analysis method to study the cell division process in individual cells. The improved resolution will promote advanced cell analysis ...

Researchers at Baylor College of Medicine have developed a powerful new data analysis method named COOKIE-Pro (Covalent Occupancy Kinetic Enrichment via Proteomics) that provides a comprehensive, ...

Led by Helmholtz Munich, scientists have developed an accessible software solution specifically designed for the analysis of complex medical health data. The open-source software called “ehrapy” ...

As the complexity of integrated circuit (IC) designs continues to rise, the task of verifying these designs has become increasingly challenging. The pace of this growth is staggering, with design ...

Quantitative polymerase chain reaction (qPCR) is a molecular technique that has reshaped the landscape of biological research and medicine due to its high sensitivity and specificity. qPCR, also known ...