ImmunoPepper: extracting personalized peptides from complex splicing graphs
ImmunoPepper is implemented in Python 3 and is available as open-source software at https://github.com/ratschlab/immunopepper. The online documentation can be found at https://immunopepper.readthedocs.io/en/latest/.
Authors
- Laurie Prélot (ORCID: https://orcid.org/0000-0001-7063-5333)
- Matthias Hüser (ORCID: https://orcid.org/0000-0001-6397-1689)
- Gunnar Rätsch (ORCID: https://orcid.org/0000-0001-5486-8532)
- André Kahles (ORCID: https://orcid.org/0000-0002-3411-0692)
- Jiayu Chen (ORCID: https://orcid.org/0000-0002-7708-5247)
Institutions
- SIB Swiss Institute of Bioinformatics (CH)
- ETH Zurich (CH)
- University Hospital of Zurich (CH)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-09-03
- DOI
- https://doi.org/10.1093/bioinformatics/btaf492
- Primary Topic
- RNA modifications and cancer
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Eidgenössische Technische Hochschule Zürich
- National Institutes of Health
- National Heart, Lung, and Blood Institute
- National Institute of Mental Health
- National Institute on Drug Abuse
- National Human Genome Research Institute
- NIH Office of the Director
- National Cancer Institute
- National Institute of Neurological Disorders and Stroke
- Common Fund