Nikos Tsardakas Renhuldt<p>I have <a href="https://scholar.social/tags/genomic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>genomic</span></a> variants called using <a href="https://scholar.social/tags/FreeBayes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FreeBayes</span></a>. I want to identify sex-linked regions of the genome. As a complement to visualization I’m considering doing some type of <a href="https://scholar.social/tags/statistical" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistical</span></a> analysis, in part driven by wanting to learn more <a href="https://scholar.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a>. I’m less interested in allele differences (GWAS) and more in <a href="https://scholar.social/tags/heterozygosity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>heterozygosity</span></a>, coverage depth, etc. Are there standard models to identify region differences? Could a <a href="https://scholar.social/tags/MixedModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MixedModel</span></a> be used for this?</p>