Data management and analysis is increasingly important as the speed of genome sequencing increases and costs reduce. Kalina Cetnar outlines the issues bioinformaticians face and ways to address them.

Prompt-based methods, which involve the careful design of inputs to guide large language model (LLM) outputs, are beginning to reshape bioinformatic analytical workflows. The authors compare ...

Rob Wraith looks at whether the rise of AI should prompt us to reconsider our approach to the teaching of coding – and if so, ...

Computational biology and bioinformatics is an interdisciplinary field that develops and applies computational methods to analyse large collections of biological data, such as genetic sequences, cell ...

Discover what it's like to work as a computational chemist. Learn about daily responsibilities, where you can work, key ...

Recent research indicates that the spatial architecture of membrane proteins is crucial for regulating T-cell signaling and activation. 3-5 In the context of CAR T cells, the nanoscale localization ...

The rate of acquisition of genomic changes in cancer has been the topic of much discussion, with several recent investigations finding evidence of punctuated evolution instead of gradual accumulation ...