Bioinformatics

A*STAR researchers have identified specific sites in the surface protein of influenza viruses that allow the pathogen to adapt to different host organisms.

Researchers at A*STAR have developed a method to obtain a holistic view of the identities and proportions of immune cells in patient blood samples.

The host immune system has a limited impact on the evolution of the influenza virus, A*STAR researchers find.

The AllerCatPro analysis workflow helps researchers predict the likelihood of a protein producing an allergic response in people.

The rate of discovery of human gene functions has fallen significantly

The 160K Natural Organism Library houses a wealth of novel compounds for biological research

A machine learning approach helps sort and label cell clusters in multiple dimensions

Genetic switch activates transformation of stem cells into heart muscle cells

Cytofkit helps researchers make sense of mass cytometry datasets to uncover cell subsets

Smarter software allows researchers to generate higher-quality data from an exciting new DNA sequencing technology

The impressive computing power of a genetic algorithm can identify the signatures of small molecules within complex metabolomics datasets

Researchers at the A*STAR Bioinformatics Institute develop a pioneering mobile application for portable analysis of DNA sequences