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Bruno Alvarez
Bruno Alvarez
MSc, PhD
Verified email at iib.unsam.edu.ar
Title
Cited by
Cited by
Year
NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data
B Reynisson, B Alvarez, S Paul, B Peters, M Nielsen
Nucleic acids research 48 (W1), W449-W454, 2020
10852020
GibbsCluster: unsupervised clustering and alignment of peptide sequences
M Andreatta, B Alvarez, M Nielsen
Nucleic acids research 45 (W1), W458-W463, 2017
1942017
NNAlign_MA; MHC peptidome deconvolution for accurate MHC binding motif characterization and improved T-cell epitope predictions
B Alvarez, B Reynisson, C Barra, S Buus, N Ternette, T Connelley, ...
Molecular & Cellular Proteomics 18 (12), 2459-2477, 2019
1012019
Footprints of antigen processing boost MHC class II natural ligand predictions
C Barra, B Alvarez, S Paul, A Sette, B Peters, M Andreatta, S Buus, ...
Genome medicine 10, 1-15, 2018
752018
Computational tools for the identification and interpretation of sequence motifs in immunopeptidomes
B Alvarez, C Barra, M Nielsen, M Andreatta
Proteomics 18 (12), 1700252, 2018
542018
Accurate MHC motif deconvolution of immunopeptidomics data reveals a significant contribution of DRB3, 4 and 5 to the total DR immunopeptidome
S Kaabinejadian, C Barra, B Alvarez, H Yari, WH Hildebrand, M Nielsen
Frontiers in Immunology 13, 835454, 2022
342022
NNAlign_MA; semi-supervised MHC peptidome deconvolution for accurate characterization of MHC binding motifs and improved T cell epitope prediction
B Alvarez, B Reynisson, C Barra, S Buus, N Ternette, T Connelley, ...
bioRxiv, 550673, 2019
12019
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