Publications per year
Publications per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Carolina Barra Quaglia is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition
Borch, A., Carri, I., Reynisson, B., Alvarez, H. M. G., Munk, K. K., Montemurro, A., Kristensen, N. P., Tvingsholm, S. A., Holm, J. S., Heeke, C., Moss, K. H., Hansen, U. K., Schaap-Johansen, A. L., Bagger, F. O., de Lima, V. A. B., Rohrberg, K. S., Funt, S. A., Donia, M., Svane, I. M. & Lassen, U. & 3 others, , 2024, In: Frontiers in Immunology. 15, 17 p., 1360281.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile57 Downloads (Pure) -
In Silico Tools for Predicting Novel Epitopes: Methods and Protocols
Quaglia, C. B., Nilsson, J. B., Saksager, A., Carri, I., Deleuran, S., Garcia Alvarez, H. M., Høie, M. H., Li, Y., Clifford, J. N., Wan, Y.-T. R., Moreta, L. S. & Nielsen, M., 2024, Intracellular Pathogens. Humana Press, Vol. 2813. p. 245-280 (Methods in Molecular Biology, Vol. 2813).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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MARS an improved de novo peptide candidate selection method for non-canonical antigen target discovery in cancer
Liao, H., Barra, C., Zhou, Z., Peng, X., Woodhouse, I., Tailor, A., Parker, R., Carré, A., Borrow, P., Hogan, M. J., Paes, W., Eisenlohr, L. C., Mallone, R., Nielsen, M. & Ternette, N., 2024, In: Nature Communications. 15, 1, 16 p., 661.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile57 Downloads (Pure) -
New light on the HLA-DR immunopeptidomic landscape
Egholm Bruun Jensen, E., Reynisson, B., Barra, C. & Nielsen, M., 2024, In: Journal of Leukocyte Biology. 115, 5, p. 913–925Research output: Contribution to journal › Journal article › Research › peer-review
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Machine learning reveals limited contribution of trans-only encoded variants to the HLA-DQ immunopeptidome
Nilsson, J. B., Kaabinejadian, S., Yari, H., Peters, B., Barra, C., Gragert, L., Hildebrand, W. & Nielsen, M., 2023, In: Communications Biology. 6, 1, 13 p., 442.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile54 Downloads (Pure)
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Development of machine learning methods to identify protein patterns driving autoimmunity
Saksager, A. B. (PhD Student), Quaglia, C. B. (Main Supervisor) & Nielsen, M. (Supervisor)
15/11/2022 → 14/11/2025
Project: PhD
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T Cell Immunoinformatics
Nilsson, J. B. (PhD Student), Nielsen, M. (Main Supervisor) & Quaglia, C. B. (Supervisor)
01/09/2022 → 31/08/2025
Project: PhD
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Advanced signal processing and deep learning frameworkfor discovering molecular underpinnings
Lorenzen, N. R. (PhD Student), Mignot, E. (Supervisor), Quaglia, C. B. (Main Supervisor) & Jennum, P. J. (Supervisor)
01/06/2022 → 31/05/2025
Project: PhD
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Cancer T cell immunoinformatics
Wan, Y.-T. R. (PhD Student), Nielsen, M. (Main Supervisor) & Quaglia, C. B. (Supervisor)
01/05/2022 → 30/04/2025
Project: PhD
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Accurate classification of allergenic responses using machine learning algorithms
Li, Y. (PhD Student), Quaglia, C. B. (Main Supervisor), Nielsen, M. (Supervisor), Kesmir, C. (Examiner) & Stranzl, T. (Examiner)
01/12/2021 → 30/11/2024
Project: PhD