Comprehensive and scalable quantification of splicing differences with MntJULiP

Research output: Contribution to journalArticlepeer-review


Tools for differential splicing detection have failed to provide a comprehensive and consistent view of splicing variation. We present MntJULiP, a novel method for comprehensive and accurate quantification of splicing differences between two or more conditions. MntJULiP detects both changes in intron splicing ratios and changes in absolute splicing levels with high accuracy, and can find classes of variation overlooked by other tools. MntJULiP identifies over 29,000 differentially spliced introns in 1398 GTEx brain samples, including 11,242 novel introns discovered in this dataset. Highly scalable, MntJULiP can process thousands of samples within hours to reveal splicing constituents of phenotypic differentiation.

Original languageEnglish (US)
Article number195
JournalGenome biology
Issue number1
StatePublished - Dec 2022


  • Alternative splicing
  • Differential splicing
  • RNA-seq
  • Transcriptomics

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology


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