CompOmics
@compomics
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The CompOmics group specializes in the management, analysis and integration of high-throughput biological data
Ghent, Belgium
Joined November 2011
@RalfGabriels taking the scene to demonstrate the latest & greatest out of the @compomics group - data analytics are sure to take us where we need to be as a field! #iSCMS2024
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Happy #HUPO2025 Wednesday! Today from @CompOmics: @TineClaeys1's talk on tissue-specific #PTMs and posters by @RobbinBouwmees, @Pathmanaban_, and @p_verschaffelt.
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@CompOmics Tuesday at #HUPO2024: Join us at the @BrukerMassSpec Lunch Symposium to learn about TIMS²Rescore, at the #Bioinformatics session for Enrico's talk on modification-dependent protein associations, and checkout our posters on #MachineLearning, #Metadata & #Metaproteomics.
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Today from @CompOmics at #HUPO2024: #metaproteomics posters, lots of initiative posters, #Bioinformatics Hub, and both @RobbeDevreese and Alireza Nameni's 3-Minute Thesis Competition.
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@Compomics is on its way to Dresden for #HUPO2024! Come say hi at our posters, listen to the sessions or join us at the bioinformatics hub. Looking forward to see you there!
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🚨 Our new review on 𝘥𝘦 𝘯𝘰𝘷𝘰 sequencing in metaproteomics is out! Check it out on ChemRxiv: https://t.co/p32CPFC8fX 🙏@tvdbossche @denisbeslic, @SamPuyenbr49385, Tomi Suomi, @HolsteinTanja, @EloLab_fi and Thilo Muth #metaproteomics #microbiome #bioinformatics @MetaP_Init
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Fresh from the @Matrix_Science breakfast seminar at #ASMS2024: MS2Rescore will be integrated into Mascot 2.9. Simply enable it by ticking the checkbox ✅
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The cool kids are in the back! Join me today at the bioinformatics hub at #ASMS2024 located on the left side of the poster hall. Let's talk metadata ✌️
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Excited about our line up at #ASMS2024 this year! Attend our #presentations, join the #discussions and #workshops, visit our #posters, and checkout the #3DPrinting exhibit. We've got many cool new things to share!
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Here it is: our paper on the benefit of using in silico predicted libraries in DIA 🎉🎉🎉😎🙏 https://t.co/q5uZqRS2lz
@KrisGevaert_VIB @RalfGabriels @RobbinBouwmees @SaraDuf79861163 @mtpmmaia @VIBProteomxCore @ImpensLab
pubs.acs.org
Data-independent acquisition (DIA) has become a well-established method for MS-based proteomics. However, the list of options to analyze this type of data is quite extensive, and the use of spectral...
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Really excited to see this published! We have worked on this for quite a few years; to see it come together in this paper is very rewarding: https://t.co/oEHD20t2XU Definitely give it a read if you are interested in predicting CCS values with ML and molecular dynamics combined.
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Happy to announce MS²Rescore v3.0, our much-improved platform for #MachineLearning-driven rescoring of #Proteomics search results. Read more in our publication or in the thread below. https://t.co/74R4CZaoKK
pubs.acs.org
Rescoring of peptide–spectrum matches (PSMs) has emerged as a standard procedure for the analysis of tandem mass spectrometry data. This emphasizes the need for software maintenance and continuous...
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The @compomics team is present at the #PSI2024 meeting in Kyoto, Japan. Ready for proteomics standardization! @Pathmanaban_ @tvdbossche
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Really looking forward to this webinar! Presentation of ProteoBench: community effort to compare MS analysis software tools. (beta version: https://t.co/WbODLrSmfT) Webinar takes place the 27th of February at 6pm CET (register here: https://t.co/349AjKsOff)
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Incredibly excited and proud to announce our latest work in Nature Communications 🎉 We introduce lesSDRF, an innovative tool revolutionizing metadata annotation in proteomics using the SDRF format. 🔗 Check out our article: https://t.co/lHdmaO7ekO (1/3) #proteomics #metadata
nature.com
Nature Communications - Public proteomics data often lack essential metadata, limiting their potential. To address this, the authors developed lesSDRF, a tool to simplify the process of metadata...
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Great talk by @TineClaeys (@compomics group) on lesSDRF. A really nice effort towards better annotation and reusability of #proteomics data 💪🏻 Excited to try it out! #HUPO2023
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Super happy to announce the new release of @nf_core /mhcquant: A @nextflowio based pipeline to identify and quantify @immunopeptidomics data. We did some major rework towards structure and performance of the pipeline (1/4) https://t.co/hceDgcL8kO
github.com
Added #267 Support for brukers tdf format by adding tdf2mzml converter #269 DeepLC retention time prediction (shout out to @steffenlem) #270 MS2PIP peak intensity prediction (shout out to @steffen...
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