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Article Dans Une Revue Bioinformatics Année : 2022

kmdiff, large-scale and user-friendly differential k-mer analyses

Résumé

Genome wide association studies elucidate links between genotypes and phenotypes. Recent studies point out the interest of conducting such experiments using k-mers as the base signal instead of single-nucleotide polymorphisms. We propose a tool, kmdiff, that performs differential k-mer analyses on large sequencing cohorts in an order of magnitude less time and memory than previously possible. Availability and implementation: https://github.com/tlemane/kmdiff
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Origine : Publication financée par une institution
Licence : CC BY - Paternité

Dates et versions

hal-03885124 , version 1 (27-01-2023)

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Paternité

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Téo Lemane, Rayan Chikhi, Pierre Peterlongo. kmdiff, large-scale and user-friendly differential k-mer analyses. Bioinformatics, 2022, 38 (24), pp.5443-5445. ⟨10.1093/bioinformatics/btac689⟩. ⟨hal-03885124⟩
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