A biodiversity genomics team sequences DNA from 6 endangered species. Each genome requires 8 large-capacity storage drives, each holding 480 GB, and each genome averages 3.2 TB. If they have a total storage capacity of 120 TB, how many additional terabytes must they acquire to store all genomes? - kipu
A biodiversity genomics team sequences DNA from 6 endangered species. Each genome requires 8 large-capacity storage drives, each holding 480 GB, averaging 3.2 TB in size—critical data capturing vital genetic information. With increasing global interest in preserving biodiversity and advancing genomic research, teams are accumulating vast datasets that strain storage infrastructure.
Recent trends in biotech and conservation science highlight how genomic sequencing is becoming a cornerstone of species recovery efforts. As funding and public awareness grow, specialized teams now process dozens of genomes annually—each demanding robust digital infrastructure to safeguard data integrity and enable research collaboration.
The total storage needs stem from the raw volume: 6 genomes × 3.2 TB each equals 19.2 TB. Each drive holds 480 GB, equivalent to 0.48 TB. With 8 drives per genome, storage per genome comes to 3.84 TB—slightly over the stated 3.2 TB average, but consistent with drive capacity and margin. Multiply by 6: 6 × 3.84 TB = 23.04 TB.
Opportunities lie in smarter storage solutions—cloud
Given the 120 TB available, and the 23.04 TB needed, one might assume full coverage—but real-world genomic pipelines often require buffering, backups, and future expansion. Industry standards suggest planning 20–30% more capacity to accommodate growing data pipelines and emerging sequencing technologies.
This exceeds the team’s 120 TB capacity—but wait: the requirement is comparative, not absolute. The team currently holds 120 TB of storage, but genomic sequencing for 6 species demands 23.04 TB. The constraint isn’t total capacity, but alignment between available and required digital space per genome. Yet the math reveals a key insight: even with ample space in absolute terms, genomic workflows require write-heavy, high-reliability systems, where redundancy and speed matter as much as volume.
