Show simple item record

dc.rights.licenseCC-BY-NC-ND
dc.contributorShane Pullens, Sabrina Santos Oliverira, Shreya Dharadhar, Can Kesmir
dc.contributor.advisorKesmir, Can
dc.contributor.authorAyllón Gavilán, Manu
dc.date.accessioned2025-06-29T23:01:55Z
dc.date.available2025-06-29T23:01:55Z
dc.date.issued2025
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/49077
dc.description.abstractRecent advances in neoantigen research have accelerated the development and approval of tumor (immune)therapies, particularly antibody-based treatments for solid tumors. Neoantigens, arising from tumor-specific changes such as genomic mutations, dysregulated RNA splicing, and post-translational modifications, are newly formed antigens in tumor cells. The identification and prediction of these neoantigens have been facilitated by advancements in next-generation sequencing (NGS) and bioinformatic
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectAutomatic identification of non-canonical peptides presented on MHC molecules that can be used as valid targets for (immune)therapies.
dc.titleNon-canonical peptides presented on MHC molecules as possible biomarkers for (immune)therapies.
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuBioinformatics and Biocomplexity
dc.thesis.id40850


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record