Running Large Scale Biomarker Discovery Faster and Cheaper

Unlock Population Scale Genomic Discovery Without Cost and Performance Barriers

Large scale biomarker discovery increasingly depends on analyzing whole genome sequencing data across thousands of samples. While sequencing costs have fallen, compute performance and infrastructure cost remain major blockers to running population scale studies.

This whitepaper presents a real world case study where Lifebit’s Trusted Research Environment enabled the analysis of 2,445 whole genome tumor normal pairs, delivering significantly faster runtimes and substantially lower cloud compute costs while maintaining security, governance, and reproducibility.

Inside

Run population scale biomarker discovery workflows up to 70 percent faster using cloud native compute

Reduce cloud compute costs by approximately 50 percent through optimized parallel execution

Analyze thousands of whole genomes securely without exporting or duplicating sensitive data

Support rapid iteration and hypothesis testing across large cancer genomics cohorts

Translate large scale genomic insights into clinically relevant outcomes