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Alina Cărunta

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Open access Jul 2026

MEGAHIT k-mer range tuning trades computational efficiency for improved recovery of functional genes across cave sediment and wastewater metagenomes

The study provides a quantitative basis for selecting MEGAHIT k-mer parameters according to whether computational efficiency or functional gene discovery is the primary aim, and indicates that reduced k-mer sets can lower computational cost but may miss biologically relevant functional signal, depending on the dataset and downstream target.

Alina Cărunta, H. Banciu, A. Mizeranschi · 0 citations