Article

HMMploidy: inference of ploidy levels from short-read sequencing data

2021-06-30

Abstract excerpt

The inference of ploidy levels from genomic data is important to understand molecular mechanisms underpinning genome evolution. However, current methods based on allele frequency and sequencing depth variation do not have power to infer ploidy levels at low-and mid-depth sequencing data, as they do not account for data uncertainty. Here we introduce HMMploidy , a novel tool that leverages the information from mul...

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Literature Corpus work: 7307f098-7d5b-5175-91f3-1eaa40a717d4
DOI: 10.1101/2021.06.29.450340

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