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Article

Population genetic analysis of bi-allelic structural variants from low-coverage sequence data with an expectation-maximization algorithm.

BMC bioinformatics - 29 May 2014

Lucas-Lledó José Ignacio, Vicente-Salvador David, Aguado Cristina, Cáceres Mario

Abstract excerpt

BACKGROUND: Population genetics and association studies usually rely on a set of known variable sites that are then genotyped in subsequent samples, because it is easier to genotype than to discover the variation. This is also true for structural variation detected from sequence data. However, the genotypes at known variable sites can only be inferred with uncertainty from low coverage data. Thus, statistical...

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PMID: 24884587
DOI: 10.1186/1471-2105-15-163
PMCID: PMC4055234

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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