Overview
Genomic research generates vast volumes of complex data that require intuitive visualization to support scientific discovery. In this case study, Excelra partnered with a US-based life sciences organization to design and develop a scalable gene visualization platform that enables discovery scientists to explore, analyze, and interpret genomic datasets. By combining computational biology services with advanced scientific data management, the platform empowered researchers to evolve hypotheses efficiently within discovery programs.
Our client
The client is a US-based life sciences company operating across pharmaceutical and biotechnology research. Their discovery teams required interactive visualization capabilities to interrogate large-scale genomic datasets, including Genome-Wide Association Studies (GWAS) and next-generation sequencing outputs. To support this vision, they sought robust bioinformatics solutions and scalable scientific informatics workflows that could support expert geneticists and discovery scientists.
Client’s challenge
The primary challenge was the lack of a unified, user-friendly platform to visualize and interpret GWAS results stored in distributed data lakes. Existing tools limited exploratory analysis and slowed hypothesis generation. The client required a solution capable of handling large genomic datasets while ensuring interoperability, performance, and adherence to FAIR data principles in life sciences, without compromising usability for scientific teams.
Client’s goals
The client aimed to develop an interactive gene visualization platform that would allow scientists to explore genomic data by disease or gene of interest. Key goals included enabling intuitive data exploration, supporting next-generation sequencing data interpretation, and leveraging scalable scientific informatics solutions to accelerate discovery-stage decision-making.
Our Approach
Excelra designed the Gene Visualization Platform to display dynamic visualizations of GWAS results sourced directly from enterprise data lakes. To support reliable genomic interpretation, we integrated scientific data curation services and applied standardized genomic bioinformatics workflows. The engineering strategy combined scientific application development for drug discovery with cloud-enabled pipelines, ensuring scalable ingestion, processing, and visualization of large genomics and omics datasets.
Our Solution
Excelra delivered a scalable, role-based gene visualization platform capable of supporting thousands of concurrent users. Built using modern graphing frameworks and interactive dashboards, the solution enabled exploration of GWAS, SNPs, genome browser views, and RNA-sequencing data. The platform leveraged secure cloud-native scientific infrastructure and advanced bioinformatics visualization techniques to provide discovery scientists with actionable genomic insights.
Result
The implemented gene visualization platform significantly improved researchers’ ability to explore and interpret genomic data. Scientists gained faster access to insights through interactive visual analytics, improved hypothesis generation, and scalable support for future genomics workflows. The solution also established a foundation for extending visualization capabilities across additional omics and R&D datasets.
Conclusion
This case study highlights Excelra’s expertise in designing and delivering a gene visualization platform that bridges bioinformatics, scientific data management, and interactive visualization. By enabling intuitive exploration of GWAS and next-generation sequencing datasets, Excelra helped the client accelerate discovery programs and strengthen data-driven research. Learn more about Excelra’s capabilities in bioinformatics services and scientific informatics solutions.
