Lennart Martens

Gent / BE

VIB

Weitere Beteiligungen

Mo., 21.10.
Poster presentation
iP-20
Expanding proteomics horizons through metadata
Multiomics Approaches
Di., 22.10.
Poster presentation
P-II-0458
IM2Deep predicts collisional cross-sections of modified and multiconformational peptide ions
New Technology: AI and Bioinformatics in Mass Spectrometry
Di., 22.10.
Poster presentation
P-II-0494
The benefit of in silico predicted spectral libraries in data-independent acquisition data analysis workflows
New Technology: AI and Bioinformatics in Mass Spectrometry
Di., 22.10.
Poster presentation
P-II-0512
Expanding proteomics horizons through metadata
Multiomics Approaches
Di., 22.10.
Poster presentation
P-II-0468
TIMSrescore: timsTOF-optimized PSM rescoring boosts identification rates for immunopeptidomics
New Technology: AI and Bioinformatics in Mass Spectrometry
Di., 22.10.
Poster presentation
P-II-0481
Enhancing peptide-spectrum match identification: leveraging mokapot with nonlinear machine learning algorithms to increase PSMs, with consideration for false positives
New Technology: AI and Bioinformatics in Mass Spectrometry
Di., 22.10.
Poster presentation
P-II-0545
Precision through Networks: AI-driven Targeting of Protein-Protein Interactions in Lysosomal Storage Disorders
Multiomics Approaches
Di., 22.10.
16:30 – 16:42 10 Min. 2 Min.
Oral presentation
OP-63
MoDPA: investigating diseases through modification-dependent protein associations
Data Integration: With Bioinformatics to Biological Knowledge
Mi., 23.10.
11:05 – 11:17 10 Min. 2 Min.
Oral presentation
OP-68
PTMs and proteoforms shaping tissue proteomes
Data Integration: With Bioinformatics to Biological Knowledge
Mi., 23.10.
Poster presentation
P-III-1100
Fine tuning of ddaPASEF methods improves the immunopeptidomics coverage and throughput, which is further boosted by ML-assisted rescoring
Immunopeptidomics
Mi., 23.10.
Poster presentation
P-III-0823
AlphaFold3 and protein modifications: obvious strengths and significant challenges
Data Integration: With Bioinformatics to Biological Knowledge