Nature Communications (Mar 2023)

RNA splicing analysis using heterogeneous and large RNA-seq datasets

  • Jorge Vaquero-Garcia,
  • Joseph K. Aicher,
  • San Jewell,
  • Matthew R. Gazzara,
  • Caleb M. Radens,
  • Anupama Jha,
  • Scott S. Norton,
  • Nicholas F. Lahens,
  • Gregory R. Grant,
  • Yoseph Barash

DOI
https://doi.org/10.1038/s41467-023-36585-y
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 20

Abstract

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Here the authors develop MAJIQ v2 to address challenges in detection, quantification, and visualization of RNA splicing variations from large heterogeneous RNA-Seq datasets. They then apply it to analyze 2,335 samples from 13 brain subregions.