Excited to share our new paper “MHCquant2 refines immunopeptidomics tumor antigen discovery” in Genome Biology!
An open-source @nf-co.re workflow using OpenMS, DeepLC & MS²PIP boosts peptide ID & sensitivity. Scalable, reproducible & ready for large-scale immunopeptidomics.

👉 rdcu.be/eHFTZ

Looking for a new position? Come join our team as new assistant to the department head! Check out the following link for more information:
jobs.medizin.uni-tuebingen.de/Job/6025/Ass...

New study presents Mal-ID, an #AI model analyzing BCR/TCR sequences to identify immune states across infections, autoimmune diseases and vaccination. It classifies diseases with high accuracy, reveals immune patterns and highlights #diagnostic potential of sequencing.
www.science.org/doi/full/10....

We are #hiring! 🚀 Join our #bioinformatics team in a truly #interdisciplinary environment driving #immunopeptidomics analyses and pipeline development with direct impact on advancing patient treatment! Check out the full job description: jobs.medizin.uni-tuebingen.de/Job/5775/Bio...

Phase I trial update: Our warehouse-based cancer peptide vaccine for CLL showed promising safety but limited T cell responses.
Next: Follow-up trial with improved adjuvants & BTK inhibitors underway. Stay tuned! #CancerResearch #Immunopeptidomics #Immunotherapy
🔗 doi.org/10.3389/fimm...