VBrennsteiner retweeted
Proteomics analysis has always lived in its own universe. AlphaPeptTools puts it in #scverse instead, so that proteome, transcriptome & spatial data sit in one ecosystem. 11 search engines (DDA+DIA) read in, proteomics-specific statistics, #scverse native. doi.org/10.64898/2026.09.11.…
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VBrennsteiner retweeted
We just release alphaDIA 1.8.2 including some new step-by-step guides for #Proteomics. Learn how to: • Run DIA searches from the GUI • Create custom PTM models with DIA transfer learning • Evaluate model performance with detailed metrics alphadia.readthedocs.io/en/l… #TeamMasSpec
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VBrennsteiner retweeted
Doing good science is 90% finding a science buddy to constantly talk to about the project.
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VBrennsteiner retweeted
🔬Inspired by nature: A synthetic nightshade molecule has proven effective against leukemia cells, according to a new study by CeMM PI @georg_e_winter published in @nchembio. The new molecule disrupts the cholesterol metabolism of tumor cells ➡️ read more: bit.ly/3VLWHQc
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AlphaDIA enables End-to-End Transfer Learning for Feature-Free Proteomics biorxiv.org/cgi/content/shor… #biorxiv_bioinfo
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VBrennsteiner retweeted
1/7 @labs_mann and Georg Wallmann @GeorgWa are proud to announce alphaDIA, our open source, next generation DIA search engine. Check out the preprint @biorxivpreprint biorxiv.org/content/10.1101/…
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We've got something exciting to share before #ASMS2024! But first, how confident do you feel about your DIA search? #TeamMassSpec
21% I prefer DDA
45% It's all black magic
23% I know my papers
11% I build it from scratch
303 votes • Final results
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