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#singlecell

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Ming 'Tommy' Tang<p>6/ Lastly, in <a href="https://www.nature.com/articles/s41592-023-02003-w" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nature.com/articles/s41592-023</span><span class="invisible">-02003-w</span></a>. the observed sensitivity deficits stem from three sources: (1) poor annotation of 3′ gene ends; (2) issues with intronic read incorporation; and (3) gene overlap-derived read loss. <a href="https://genomic.social/tags/singlecell" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>singlecell</span></a> <a href="https://genomic.social/tags/RNAseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RNAseq</span></a></p>
Marc Robinson-Rechavi<p>Yuyao Song presents ScGOclust to compare <a href="https://ecoevo.social/tags/singlecell" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>singlecell</span></a> <a href="https://ecoevo.social/tags/scRNAseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scRNAseq</span></a> between distant species, such as fly and mammal: gene level comparisons don’t work because there has been too much divergence. 💡 Instead of genes, use GO terms has features to compare cells. <a href="https://ecoevo.social/tags/ismbeccb2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ismbeccb2025</span></a> <br><a href="https://doi.org/10.1093/bioinformatics/btaf195" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1093/bioinformatics</span><span class="invisible">/btaf195</span></a></p>

Happy to see out our latest work on studying animal body size variations using single cell transcriptomics to measure gene expression of individual cells. Learned my fair bit of statistics here, and most importantly I learned how to build wrapper functions for "complex" tasks in R (such as differntial gene expression) in a modular way. Thanks to all the authors involved! science.org/doi/10.1126/sciadv #singlecell #scrna #allometry #splitseq #planarians #generegulation