Nature Communications (Jun 2022)

GenomicSuperSignature facilitates interpretation of RNA-seq experiments through robust, efficient comparison to public databases

  • Sehyun Oh,
  • Ludwig Geistlinger,
  • Marcel Ramos,
  • Daniel Blankenberg,
  • Marius van den Beek,
  • Jaclyn N. Taroni,
  • Vincent J. Carey,
  • Casey S. Greene,
  • Levi Waldron,
  • Sean Davis

DOI
https://doi.org/10.1038/s41467-022-31411-3
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 10

Abstract

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Many transcriptomic profiles have been deposited in public archives but are underused for the interpretation of experiments. Here the authors report GenomicSuperSignature for interpreting new transcriptomic datasets through comparison to public archives, without high-performance computing requirements.