CompOmics

@compomics.com

The CompOmics group specializes in the management, analysis and integration of high-throughput biological data #ResearchGroup #GhentUniversity #VIBLifeSciences

📢 Mark your calendars! We’re excited to announce the EuBIC-MS 2027 Hackathon! 📍 Gimo, Sweden 📅 31 January – 5 February 2027 💡 Have a hackathon idea? The call for topic proposals is now open on the EuBIC GitHub repository: github.com/EuBIC/EuBIC2... We’re looking forward to seeing you there!

GitHub - EuBIC/EuBIC2027: Organizational repository for the EuBIC-MS Hackathon 2027

Organizational repository for the EuBIC-MS Hackathon 2027 - EuBIC/EuBIC2027

github.com

Happy to have this one finally out. Since the first generation was very popular in the proteomics community, we decided to work on a second generation including the latest innovations in LC-MS. Very grateful to all collaborators and a special shoutout to @robbedevr.bsky.social from @compomics.com

PastelBio@pastelbio.bsky.social · 7mo ago

LFQ Benchmark Dataset - Generation Beta: Assessing Modern Proteomics Instruments and Acquisition Workflows with High-Throughput LC Gradients www.biorxiv.org/cont... --- #proteomics #prot-preprint

Join us for the EuBIC-MS Winter School 2026! This conference comes highly recommended—excellent keynotes, hands-on workshops, and a very welcoming community. Arthur Declercq, who just completed his PhD in our group, will deliver a keynote on #immunopeptidomics and #neoepitope prediction.

EuBIC-MS@eubic-ms.org · 10mo ago

Registration is now open for the EuBIC-MS Winter School 2026! Join us in Harrachov, Czechia for a week of keynotes, workshops, and networking on computational MS. Info and registration: eubic-ms.org/events/2026-... #EuBIC2026 #MassSpectrometry #MassSpec #Bioinformatics #Proteomics #Metabolomics

Register now!

Five days of keynotes, workshops, flash talks, posters, and more on computational mass spectrometry

Confirmed keynote speakers
Armin Soleymaniniya  ·  Arthur Declercq  ·  Claire Koenig ·  Hannah Boekweg  ·  Jonas Scheid  ·  Karel Berka  ·  Matthias Anagho-Mattanovich  ·  Roman Bushuiev  ·  Valdemaras Petrosius

📆 19-23 January 2026
📍 Harrachov, Czechia

We are working on an AI based metadata extraction pipeline from papers, supplementary files and mass spectra. Come to @harirmds.bsky.social's talk at #EuPA2025 for the newest and hottest results!

EuBIC-MS@eubic-ms.org · last yr.

Join us in Saint-Malo for the #EuBIC-MS session at #EuPA2025! After a short introduction, we have three exciting talks lined up, as well as an interactive discussion on open issues in computational proteomics. @eupaproteomics.bsky.social @uszkoreitju.bsky.social @harirmds.bsky.social

EuBIC-MS session at EuPA 2025
Tuesday June 17, 10:15 - 12:00, Room Vauban 1

Ralf Gabriels
Introducing EuBIC-MS
10:15 - 10:30

Julian Uszkoreit
O85 - What can we gain - a comparison of common search engines and post-processing methods
10:30 - 10:45

Yannic Chen
O84 - Benchmarking Database Search Engines for DDA-based Immunopeptidomics
10:45 - 11:00

Harikrishnan Ramadasan
O86 - Bridging expert curation and LLMs for automated metadata extraction in lesSDRF 2.0
11:00 - 11:15

Interactive discussions on open challenges in computational proteomics
11:15 - 12:00

Seems reasonable to dedicate my first Bluesky post to the following: Our latest research, TIMS²Rescore, is now published in Journal of Proteome Research! 🎉 Read it here: pubs.acs.org/doi/full/10.... A huge thanks to all our collaborators for making this happen!

TIMS2Rescore: A Data Dependent Acquisition-Parallel Accumulation and Serial Fragmentation-Optimized Data-Driven Rescoring Pipeline Based on MS2Rescore

The high throughput analysis of proteins with mass spectrometry (MS) is highly valuable for understanding human biology, discovering disease biomarkers, identifying therapeutic targets, and exploring pathogen interactions. To achieve these goals, specialized proteomics subfields, including plasma proteomics, immunopeptidomics, and metaproteomics, must tackle specific analytical challenges, such as an increased identification ambiguity compared to routine proteomics experiments. Technical advancements in MS instrumentation can mitigate these issues by acquiring more discerning information at higher sensitivity levels. This is exemplified by the incorporation of ion mobility and parallel accumulation and serial fragmentation (PASEF) technologies in timsTOF instruments. In addition, AI-based bioinformatics solutions can help overcome ambiguity issues by integrating more data into the identification workflow. Here, we introduce TIMS2Rescore, a data-driven rescoring workflow optimized for DDA-PASEF data from timsTOF instruments. This platform includes new timsTOF MS2PIP spectrum prediction models and IM2Deep, a new deep learning-based peptide ion mobility predictor. Furthermore, to fully streamline data throughput, TIMS2Rescore directly accepts Bruker raw mass spectrometry data and search results from ProteoScape and many other search engines, including Sage and PEAKS. We showcase TIMS2Rescore performance on plasma proteomics, immunopeptidomics (HLA class I and II), and metaproteomics data sets. TIMS2Rescore is open-source and freely available at https://github.com/compomics/tims2rescore.

pubs.acs.org

Recently, We saw a discussion on the role of open-source in proteomics. Here, experienced developers & researchers maintaining OS tools for years shared this comment to guide newcomers in the field about OS and its role in the field. 💻 #Proteomics #OpenSource chemrxiv.org/engage/chemr...

Open-source and FAIR Research Software for Proteomics

Scientific discovery relies on innovative software as much as experimental methods, especially in proteomics, where computational tools are essential for mass spectrometer setup, data analysis, and in...

chemrxiv.org