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Embarrassingly_FASTA: Enabling Recomputable, Population-Scale Pangenomics by Reducing Commercial Genome Processing Costs from $100 to less than $1

2026-02-04

Abstract excerpt

Computational preprocessing has become the dominant bottleneck in genomics, frequently exceeding sequencing costs and constraining population-scale analysis, even as large repositories grow from tens of petabytes toward exabyte-scale storage to support World Genome Models. Legacy CPU-based workflows require many hours to days per 30× human genome, driving many repositories to distribute aligned or derived intermed...

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Literature Corpus work: dc350798-0ef5-5cdf-837a-c30aa9eb226a
DOI: 10.64898/2026.02.02.703356

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