Debilitating motor neurone diseases, such as amyotrophic lateral sclerosis, or ALS, are inherited in 5 to 10 percent of cases, while the rest have no known cause. We created a visual analytical tool for geneticists to find the hidden pathways that are causing the disease in each patient. This tool is fast tracking the discovery of targeted diagnostics and therapeutics.
Our adaptation of an interactive map-like interface for filtering and inspecting data provides two advantages. Firstly, it gives an investigator the ability to seamless transit between a system-level macro view and entity-level micro view, the tool becomes an extension of the investigator’s thought process. Secondly, the simultaneity and the continuity preserves context throughout the session, this promotes efficiency and reduces error.
The sample/disease expression profile fingerprint is a unique way to enable visual comparison (and potentially computer vision driven machine learning analysis) of samples’ expression profiles.