Monthly Archives: March 2018

Advanced bioinformatics tools help sift through millions of genomic mutations to discover the origins of dementia and related neurodegenerative diseases as part of a network of national and international experts. The Challenge: Understanding neurodegenerative diseases Dementia, the pathological decrease in the ability to think and remember, is one of the leading causes of deaths in […]

Computational tools to improve genome engineering applications   The GT-Scan suite contains computational tools for efficiently solving the optimisation problem of identifying the most suitable target for genome engineering approaches, which requires to maximise on-target activity (guide efficiency) while also to minimise potential off-target effects (guide specificity). The GT-Scan suite is a machine learning framework […]

machine learning for population-scale whole genome data Genomic information is increasingly being used for medical research, giving rise to the need for efficient analysis methodologies able to cope with thousands of individuals and millions of genomic variants. We developed VariantSpark, a machine learning analysis framework for genomic data, utilizing the BigData Spark engine to enable […]