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Human Muscle Transcriptome Atlas Analyses

This repository contains the scripts used to analyze human leg muscles as published in eLife.

Tooba Abbassi-Daloii, Salma el Abdellaoui, Lenard M Voortman, Thom TJ Veeger, Davy Cats, Hailiang Mei, Duncan E Meuffels, Ewoud van Arkel, Peter AC 't Hoen, Hermien E Kan, Vered Raz (2023) A transcriptome atlas of leg muscles from healthy human volunteers reveals molecular and cellular signatures associated with muscle location eLife 12:e80500

https://doi.org/10.7554/eLife.80500

  • To download the processed gene expression dataset, please click here.
  • To download the processed transcript expression dataset, please click here

Note: The raw data (FASTQ) are stored in the European Genome Archive (EGA, ID EGAS00001005904), and applications for access must be made via the DAC and the EGA portal.

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