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We are the Melé Lab, the Transcriptomics and Functional Genomics Lab (TFGL) at the Barcelona Supercomputing Center (BSC). Account by lab members
Melé Lab





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📣 Yesterday our study uncovering the ancestry bias in gene annotations was finally published in @natcomms.nature.com! www.nature.com/articles/s41... If you work in human genetics or transcriptomics, do not miss our tweetorial!👇 @guigolab.bsky.social @bsc-cns.bsky.social @crg.eu
📣 We are hiring postdoctoral researchers!! Come and work with our wonderful team in sunny Barcelona. 👇 auspire.eu/research-tea...
6mo
6mo
El mapa de los genes humanos tiene un ‘agujero negro’: “Hemos dejado fuera a gran parte de la humanidad”
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...
the @melelab.bsky.social is hiring postdoctoral researchers !! come and work with us in sunny Barcelona!! auspire.eu/research-tea...
6mo
6mo
Melé Lab
Human gene maps contain major blind spots that leaves out a vast majority of the world's biological diversity, according to a new study led by the CRG's @rodericguigo.bsky.social with @bsc-cns.bsky.social. The researchers uncovered tens of thousands of new transcripts and entirely new genes.
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
Melé Lab
6mo
6mo
Computational Transcriptomics Barcelona Supercomputing Center | RMIT University Research fields: Transcriptomics; Genomics; Human Genetics; Machine Learning; Single-cell Transcriptomics; Long-read T...
auspire.eu
BSC-PF2
Do you work in 💫human genetics💫? Have you ever worried about what’s inside your gene annotation GTF⁉️ WELL, YOU SHOULD! 😱 Especially when studying a genetically diverse 🌍 cohort! 🔴We discover that gene annotations are European-biased 👉 impacting downstream analyses! Don't miss this thread🧵⬇️ 1/13
Guigó Lab
elDiario.es
Mar 20, 2025
Marta Melé
Accurate gene annotations are fundamental for interpreting genetic variation, cellular function, and disease mechanisms. However, current human gene annotations are largely derived from transcriptomic...
Long-read transcriptomics of a diverse human cohort reveals widespread ancestry bias in gene annotation
www.biorxiv.org
Centre de Regulació Genòmica (CRG)
Melé Lab
Investigadores españoles han encontrado más de cuatrocientos posibles nuevos genes que todavía no figuran en los catálogos oficiales porque se construyeron principalmente con datos de individuos de as...
www.eldiario.es
El mapa de los genes humanos tiene un ‘agujero negro’: “Hemos dejado fuera a gran parte de la humanidad”
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
Computational Transcriptomics Barcelona Supercomputing Center | RMIT University Research fields: Transcriptomics; Genomics; Human Genetics; Machine Learning; Single-cell Transcriptomics; Long-read T...
auspire.eu
BSC-PF2
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