Challenge
A large pharmaceutical company struggled with inefficiencies in their computational pipelines for high-throughput sequencing data, which took approximately 19 hours to process. This prolonged runtime reduced their bioinformatics operations’ efficiency and led to high compute resource costs. At the time of this engagement, Diamond Age (DA) had been providing bioinformatics solutions for this high-throughput sequencing group for about a year, with broader collaboration across other departments over several years.
Action
Leveraging our team’s unique strengths and expertise, DA undertook a comprehensive optimization of the client’s bioinformatics pipeline. This included standardizing parts of the pipeline and integrating customized solutions to address specific bottlenecks. The revamped pipeline was optimized for parallel processing in the client’s cloud environment, significantly enhancing performance.
Result
Our optimization efforts yielded remarkable improvements:- Runtime Reduction: Pipeline processing time decreased by 60-90%, from approximately 19 hours to about 1.5 hours.
- Cost Savings: Compute costs were slashed by 90%, reducing the financial burden on the client.
- Enhanced Workflow: The entire bioinformatics workflow now completes in under a day, boosting productivity and enabling faster decision-making.