iPepGen: a modular, immunopeptidogenomic analysis pipeline for discovery, verification, and prioritization of cancer peptide neoantigen candidates
Characterizing tumor-specific neoantigen peptides, derived from genomic or transcriptomic aberrations and presented to the immune system, is critical for immuno-oncology studies. To this end, the modular iPepGen immunopeptidogenomics pipeline provides these functions: (1) Neoantigen prediction and protein database generation from genomic or transcriptomic sequencing data; (2) Peptide identification (3) Verification from immunopeptidomic mass spectral data; (4) Neoantigen classification and visualization; (5) Candidate prioritization for further study. Easy access via a publicly available, scalable cloud-based gateway coupled with online, interactive training materials streamlines the adoption by cancer researchers who require immunopeptidogenomic analysis tools but lack advanced computational expertise and resources.
Authors
- Kyle A. Richards (ORCID: https://orcid.org/0000-0002-7155-3281)
- Timothy J. Griffin (ORCID: https://orcid.org/0000-0001-6801-2559)
- James R. Johnson (ORCID: https://orcid.org/0000-0002-8849-0993)
- D A Largaespada
- Reid Wagner
- Pratik Dilip Jagtap (ORCID: https://orcid.org/0000-0003-0984-0973)
- Flavia E. Popescu
- Susan Coleman (ORCID: https://orcid.org/0000-0002-7578-7747)
- Subina Mehta (ORCID: https://orcid.org/0000-0001-9818-0537)
- Katherine Do (ORCID: https://orcid.org/0000-0002-1230-8577)
- Tyler Jubenville (ORCID: https://orcid.org/0009-0003-9578-4847)
- Alexey I. Nesvizhskii
- Fengchao Yu
Institutions
- University of Minnesota (US)
- University of Michigan (US)
- University of Minnesota Medical Center (US)
Publication Details
- Journal
- Genome biology
- Published
- 2026-02-25
- DOI
- https://doi.org/10.1186/s13059-026-04012-2
- Primary Topic
- vaccines and immunoinformatics approaches
- Type
- article
- Field-Weighted Citation Impact
- 0.00