dc.rights.license | CC-BY-NC-ND | |
dc.contributor | Shane Pullens, Sabrina Santos Oliverira, Shreya Dharadhar, Can Kesmir | |
dc.contributor.advisor | Kesmir, Can | |
dc.contributor.author | Ayllón Gavilán, Manu | |
dc.date.accessioned | 2025-06-29T23:01:55Z | |
dc.date.available | 2025-06-29T23:01:55Z | |
dc.date.issued | 2025 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/49077 | |
dc.description.abstract | Recent 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.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | Automatic identification of non-canonical peptides presented on MHC molecules that can be used as valid targets for (immune)therapies. | |
dc.title | Non-canonical peptides presented on MHC molecules as possible biomarkers for (immune)therapies. | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.courseuu | Bioinformatics and Biocomplexity | |
dc.thesis.id | 40850 | |