Our #microbiome is constantly talking to us. @ucsandiego.bsky.social researchers are learning their language #metabolism @ucsdpharmacy.bsky.social @pieterdorrestein.bsky.social
Our #microbiome is constantly talking to us. @ucsandiego.bsky.social researchers are learning their language #metabolism @ucsdpharmacy.bsky.social @pieterdorrestein.bsky.social
And it is amazing to see that the library created as part of this project is being useful in many studies now. I'm looking forward to future discoveries on N-acyl lipids!
I'm so glad to see this paper online! This was such an exciting project and I'm so grateful to all the co-authors in this work. A very special thanks to @pieterdorrestein.bsky.social for being such a great mentor and always available for the great discussions we had on this project!
Reverse metabolomics made these two papers a reality. www.nature.com/articles/s41... and www.cell.com/cell/fulltex... but hard for others to do similar analysis as the data science is at a high level. So @vincentlamoureux.bsky.social wanted to enable others with this powerful strategy rdcu.be/ebIF2
It was a true privilege to have worked on this project! Thanks to @pieterdorrestein.bsky.social, Rob, Rodolfo, @helenamrusso.bsky.social, @simonezuffa.bsky.social, and other co-authors for all the fun we had along the way!
Such a wonderful SIMB workshop on @gnps2.bsky.social covering classical mol networking, FBMN, ion identity based mol networking, FBMN-STATS, gnps-dashboard, CMMC-kb, Modifinder, MicrobeMASST, MassQL, and limited ReDU - many were covered at a workshop for the first time. 1/4