Identification of non-canonical peptides with moPepGen.

Abstract

Proteogenomics is limited by the challenge of modeling the complexities of gene expression. We create moPepGen, a graph-based algorithm that comprehensively generates non-canonical peptides in linear time. moPepGen works with multiple technologies, in multiple species and on all types of genetic and transcriptomic data. In human cancer proteomes, it enumerates previously unobservable noncanonical peptides arising from germline and somatic genomic variants, noncoding open reading frames, RNA fusions and RNA circularization.

EDRN PI Authors
Medline Author List
  • Boutros PC
  • Ha A
  • Hugh-White R
  • Kislinger T
  • Liu LY
  • Livingstone J
  • Patel Y
  • Yamaguchi TN
  • Zhu C
  • Zhu H
PubMed ID
40523945
Sources
  • Grant number CA214194
  • Cancer Data Expo
Appears In
Nat Biotechnol, 2025 Jun (issue None)