Pierre Lindenbaum<p><a href="https://www.biorxiv.org/content/10.1101/2022.11.28.518213v1" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">22.11.28.518213v1</span></a> <a href="https://genomic.social/tags/lowCoverage" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>lowCoverage</span></a> <a href="https://genomic.social/tags/ngs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ngs</span></a> <a href="https://genomic.social/tags/genomics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>genomics</span></a> <a href="https://genomic.social/tags/ukBiobank" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ukBiobank</span></a> "<a href="https://genomic.social/tags/Imputation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Imputation</span></a> of low-coverage sequencing data from 150,119 UK Biobank genomes" "The release of whole genome sequencing data for 150,119 UK Biobank (UKB) samples represents an unprecedented opportunity to impute lcWGS with high accuracy. However, despite recent progress, current methods struggle to cope with the growing numbers of samples and markers in modern reference panels, resulting in unsustainable computational costs. "</p>