CompOmics
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compomics.com
CompOmics
@compomics.com
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The CompOmics group specializes in the management, analysis and integration of high-throughput biological data

#ResearchGroup #GhentUniversity #VIBLifeSciences
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compomics.com
Come and say hello at the poster sessions! We've got much to showcase on AI for identification and metadata, PTMs & proteoforms, immunopeptidomics, benchmarking, and open resources. From Monday to Wednesday, CompOmics is present(ing).

#HUPO2025 #Proteomics #MassSpec

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Monday posters: Caroline Jachman — ‘Gotta catch ’em all: The E. coli pan-proteome PeptideAtlas build, an online protein & PTM pokédex’ (PV.01.087). Friends of HUPO posters: Tine Claeys, Ralf Gabriels, Samuel Wein — ‘HUPO-PSI AI-Readiness Working Group: Advancing FAIR and AI-ready public proteomics data’; Ralf Gabriels — ‘Rusteomics: Bringing the benefits of the Rust programming language to proteomics data analysis’; Ralf Gabriels — ‘EuBIC-MS: A community for collaboration, training, and open development in computational mass spectrometry’; Robbin Bouwmeester — ‘ProteoBench: A community-driven, transparent, and continuously evolving benchmarking platform for mass spectrometry-based proteomics workflows’; Tim Van Den Bossche — ‘The Metaproteomics Initiative.’ Tuesday posters: Toon Callens — ‘Advancing tissue prediction using read-based DNA methylation and metabolomics modeling towards a multi-omics integration’ (PV.02.071); Robbe Devreese — ‘ProteoBench: A community-curated platform for comparison of proteomics data analysis workflows’ (PV.02.102); Enrico Massignani — ‘Exploring functional PTM relationships with MoDPA: A machine learning framework for protein regulation analysis’ (PV.02.108); Sam van Puyenbroeck — ‘The challenge of identification ambiguity in deep learning-based de novo sequencing’ (PV.02.116); Natalia Tichshchenko — ‘Protean: a tool to visualise proteoforms with modifications’ (PV.02.213). Wednesday posters: Tine Claeys — ‘Bridging expert curation and LLMs for automated metadata extraction in lesSDRF 2.0’ (PV.03.007); Alireza Nameni — ‘Enhancing peptide identification with nonlinear models in mokapot: assessing complexity, overfitting, and FDR’ (PV.03.014); Arthur Declercq — ‘MHC-3PO: A hybrid AI prediction framework for modification-aware binding affinity predictions’ (PV.03.057); Pathmanaban Ramasamy — ‘Assessing the relation between protein phosphorylation, AlphaFold3 models, and conformational variability’ (PV.03.216).
November 9, 2025 at 2:47 AM