Bioinformatics

A secure data analytics platform enables cross-institutional studies of patient health records without pooling raw data or compromising privacy.

A*STAR researchers develop a deep learning tool to overcome the lack of matched healthy DNA samples when identifying cancer-linked mutations in tumour sequencing data.

Integrating spatial information to the metabolic readouts of liver cancer samples reveals region-specific markers that conventional bulk profiling methods miss.

A new spatial multi-omics tool merges different levels of biological data from the same tissue sample to better differentiate finer details at different health states.

A detailed map of genetic variations in a key drug-processing enzyme reveals new precision medicine insights for patients of Asian ancestry.

A new machine learning tool could help predict cancer treatment outcomes for more effective and targeted treatments.

A new artificial intelligence tool helps scientists uncover how cells communicate within tissues, paving the way for more targeted treatments for diseases like cancer.

A new algorithm, BANKSY, expands our understanding of cellular diversity by revealing how cells are influenced by interactions with their neighbours.

A new computational tool gives scientists a 3D view of the gene expression landscape in tissues to better track disease progression and design targeted drugs.

A comprehensive ranking of 14 algorithms may help bioinformaticians overcome inconsistencies during data collection.

A study implicates novel genetic risk factors in a rare and aggressive lymphoma affecting Asian populations.

Sebastian Maurer-Stroh shares how bioinformatics has enabled Singapore to respond quickly to COVID-19 and will continue to play an important role in ongoing surveillance.