Client’s requirement
A life sciences company, based out of the US, partnered with Excelra to develop a user-friendly genomic data visualization platform with an ability to explore, interrogate, analyze, interpret and evolve a hypothesis in discovery programs for expert geneticists and discovery scientists.
Excelra applied its Computational Biology Services and bioinformatics solutions to design an interactive environment for genomic data; the platform was built to leverage next-generation sequencing datasets (see glossary: Next-generation sequencing) and scalable scientific data management practices via our Scientific Data Management offering. Interactive data visualization and exploratory analysis were delivered using the BioVisualizer platform and purpose-built bioinformatics visualization tools, enabling discovery scientists to evolve hypotheses rapidly.
Our approach
The Gene Visualization Platform was designed to provide a solution that can display various visualizations of Genome Wide Association Study (GWAS) results that are already stored in Data Lake databases, based on user choices (such as disease and/or gene of interest).
To support GWAS exploration and genomic interpretation, Excelra integrated robust Data Curation services and applied genomic bioinformatics workflows so that next-generation sequencing results and other omics datasets could be harmonized and displayed reliably. The engineering approach combined scientific application development best practices (see: Scientific application development for drug discovery) with cloud-enabled pipelines (Excelra Cloud Solution/ Online Pipeline Platform
) to ensure scalable ingestion, processing, and visualization of large genomic datasets. This mix of bioinformatics solutions, scientific data management, and advanced data visualization empowered researchers to interrogate GWAS and other genomics outputs and accelerate discovery program decisions.
