A k-mer-based GWAS approach empowering gene mining in polyploids

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Shuai Chen
DOI: 10.5281/zenodo.20117337
Cited by: 1

Abstract

This repository contains an implementation of a k-mer-based method for Genome-Wide Association Studies (GWAS) in complex polyploid organisms (e.g., sugarcane, potato, sweetpotato, alfalfa,...). The approach is equally applicable to diploid species. By leveraging k-mer abundance profiles and statistical modeling, the method identifies associations between genetic variants and phenotypic traits.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 May 2026
Language
EN