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Thrilled to share! 🧬🌍 Our 800M+ long-read RNA-seq dataset from 8 diverse populations reveals big gaps in gene annotations for non-European transcripts. Let’s build global inclusive annotations. @bsc-cns.bsky.social @crg.eu @melelab.bsky.social www.nature.com/articles/s41...
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Current human gene annotations are predominantly based on individuals of European ancestry. Here, the authors use long-read RNA sequencing across diverse human populations to reveal ancestry-specific ...
www.nature.com
Long-read transcriptomics of a diverse human cohort reveals ancestry bias in gene annotation - Nature Communications
GuigĂł Lab