CompOmics
@compomics
The CompOmics group specializes in the management, analysis and integration of high-throughput biological data
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@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
Happy #HUPO2025 Wednesday! Today from @CompOmics: @TineClaeys1's talk on tissue-specific #PTMs and posters by @RobbinBouwmees, @Pathmanaban_, and @p_verschaffelt.
@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.
Today from @CompOmics at #HUPO2024: #metaproteomics posters, lots of initiative posters, #Bioinformatics Hub, and both @RobbeDevreese and Alireza Nameni's 3-Minute Thesis Competition.
🚨 Our new review on 𝘥𝘦 𝘯𝘰𝘷𝘰 sequencing in metaproteomics is out! Check it out on ChemRxiv: chemrxiv.org/engage/chemrxi… 🙏@tvdbossche @denisbeslic, @SamPuyenbr49385, Tomi Suomi, @HolsteinTanja, @EloLab_fi and Thilo Muth #metaproteomics #microbiome #bioinformatics @MetaP_Init
Proud to finally have this one out! A great collaborative effort with two of my heroes @1jvaneyk and @CwittieH
Acoustic ejection mass spectrometry empowers ultra-fast protein biomarker quantification | Nature Communications nature.com/articles/s4146…
Fresh from the @Matrix_Science breakfast seminar at #ASMS2024: MS2Rescore will be integrated into Mascot 2.9. Simply enable it by ticking the checkbox ✅
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 ✌️
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!
Preparing for the 3D print exhibition at #ASMS2024, I think these will look pretty nice!
Here it is: our paper on the benefit of using in silico predicted libraries in DIA 🎉🎉🎉😎🙏 pubs.acs.org/doi/10.1021/ac… @KrisGevaert_VIB @RalfGabriels @RobbinBouwmees @SaraDuf79861163 @mtpmmaia @VIBProteomxCore @ImpensLab
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: sciencedirect.com/science/articl… Definitely give it a read if you are interested in predicting CCS values with ML and molecular dynamics combined.
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. bit.ly/3VjMHOg
The @compomics team is present at the #PSI2024 meeting in Kyoto, Japan. Ready for proteomics standardization! @Pathmanaban_ @tvdbossche
Really looking forward to this webinar! Presentation of ProteoBench: community effort to compare MS analysis software tools. (beta version: proteobench.cubimed.rub.de) Webinar takes place the 27th of February at 6pm CET (register here: shorturl.at/czAQ0)
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: nature.com/articles/s4146… (1/3) #proteomics #metadata
nature.com
lesSDRF is more: maximizing the value of proteomics data through streamlined metadata annotation
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...
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
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) github.com/nf-core/mhcqua…
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