Bioinformatics Software

09Mar 2018

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 […]

09Mar 2018

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 […]

23Nov 2017

Minimises overhead for set up and processing of new projects. NGSANE We developed NGSANE [2], a Linux-based, HPC-enabled framework that minimises overhead for set up and processing of new projects yet maintains full flexibility of custom scripting and data provenance. NGSANE process raw sequencing data either on a local cluster or third party Compute Cloud […]