A genomic dataset contains 1.2 million DNA sequences. An algorithm filters out 38% of low-quality sequences, then removes another 12% of the remaining sequences as redundant. How many sequences are left after both filters?

Wed, 06 May 2026 13:46:42 +0000

**A genomic dataset contains 1.2 million DNA sequences. An algorithm filters out 38% of low-quality sequences, then removes another 12% of the remaining sequences as redundant. How many sequences are left after both filters?** In a rapidly evolving digital landscape where biological data fuels innovation across health, research, and fintech, one dataset has quietly become central to advanced data analysis: a collection of 1.2 million DNA sequences. As scientists and developers push boundaries in personalized medicine and genetic research, access to clean, high-quality genomic data grown more critical. Behind its apparent simplicity lies a structured filtering process—removing noise to provide usable insights. Understanding how data reduces this massive pool offers not just clarity, but context for informed decision-making. --- **Why this genomic dataset matters in today’s U.S. innovation ecosystem**