BiTUGA: scalable prevalence-based unitig association testing for binary traits.

Abstract excerpt

Sequence-based association studies can be challenging in large and highly repetitive genomes. While reference-free k-mer approaches enable direct analysis of sequence variation from sequencing reads, current tools often rely on constructing full k-mer-by-sample matrices, creating computational bottlenecks. Here, we present BiTUGA, a pipeline to test associations for discrete binary traits designed to overcome...

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