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Variant Calling (Part 9): Storage Cost Optimization

· 11 min read
Thanh-Giang Tan Nguyen
Founder at G Labs

Whole Genome Sequencing (WGS) projects generate massive amounts of data. While analysis costs are significant, storage costs often become the dominant expense over time. The key challenge: you need to preserve raw data and alignments for potential re-analysis with new tools, but you can't afford unlimited storage. This blog post explores how CRAM format provides a solution, achieving 45% storage savings compared to BAM while maintaining full lossless compression and re-alignment capability. Therefore, on the new version, nf-germline-short-read-variant-calling supports cram file for better storage cost and re-analysis.