Gene Disease Association
Node.js, Express.js, MySQL, AWS, API
Visualizing Gene-Disease Association is my most recent research project . The current version visualizes 6,753 diseases and 7,878 genes, tracing the complex mechanisms by which diseases arise. Each disease comes with a description and each gene with a detailed info panel containing its sequence and properties. This makes it useful for acquiring general medical and genetics knowledge by curious people like myself, as well as in the day to day work of scientists. Further context is provided by linking these connections to the PubMed database containing scientific papers and evidence about the connection.
This is the first incarnation, or alpha version, of a project I have been thinking about since I read The Double Helix by James D. Watson a few years ago. The interface is currently being tested by a group of alpha users and scientists. The current version is for exploratory and test purposes only and far from ready for release to the general public. I hope to be able to launch the beta version containing a set of data visualizations and networks which will make the data more accessible in the next six months. More details, methodology and the data sources are available at the project website.
Current status: Ongoing
Alpha Version - exploratory UI and visualization for testing of infrastructure and data sources
Disease View (live @ project website)
Contextualizing tooltip (live @ project website)
Filter genes with therapeutic association only (live @ project website)
PubMed Records of the genes with therapeutic association (live @ project website)
More records (live @ project website)
Filter by association score strength (live @ project website)
Your research path helps you trace back your steps and hypothesis: from Diabetes to Obesity to Hypertension to Heart Disease.
Erythropoietin (EPO) Biomarker associations (live @ project website)
Erythropoietin (EPO) Biomarker PubMed Records (live @ project website)
Erythropoietin (EPO) Therapeutic associations (live @ project website)