The transdisciplinary field of microbiome research combines computer science, data analytics and biology to decipher the complex interplay between the microbial communities in a given environment. New technologies are being used to generate complex data that provide information about genes, functions and metabolites in microbial communities, also referred to as ‘omics’ data. A common way […]

Efficient and accurate visualization technologies can bring greater insight to the field of computational fluid dynamics (CFD), with implications for the design of aircraft with lighter environmental impacts. This project will utilize the open-source PyFR solver co-developed at Concordia University, and the open-source Dash analytic application framework developed by Plotly. The academic partner and their […]

Bioinformatics is at the intersection of computer science, mathematics and biology. With the advent of new technologies, more and more genomic data is being generated. A common task for analysing such data is to visualize it in an interactive way that highlights the results of computational analyses. In the past 5 years, Web browsers have […]

The goal of this project is to develop new machine learning methods and computational strategies to mega-analyze data from well-characterized datasets on chronic pain conditions to develop a genetic predictive tool. This tool will be implemented in an online interactive dashboard and used by the Quebec Pain Research Network (QPRN) community. This collaboration with Plotly […]