My commentary article, featuring the work of Aasmets et al. on the long-lasting effects of medications on the gut microbiome, is now out in mSystems @asm.org #microbiome #microsky doi.org/10.1128/msys...

Full thread will come later, but @annacusco.bsky.social's preprint on the dog pet gut microbiome is out! Using ONT+Illumina, we get better MAGs than to corresponding species representative in public databases doi.org/10.1101/2025...

We're very happy to release our new database Metalog metalog.embl.de ! It offers manually curated and harmonised contextual data for 110k metagenomics samples across the globe, incl. precomputed taxonomic profiles, for interactive browsing and for download 🧵 1/7 #microsky

Our new preprint is out! www.biorxiv.org/content/10.1... In this study, we present the largest systematic analysis of microbiome structure and function, integrating 85K uniformly processed metagenomes from diverse habitats worldwide. @podlesny.bsky.social @jonas-bio.bsky.social @borklab.bsky.social

The team's first preprint is out! Led by ‪ ‪@vishnuprasoodanan.bsky.social‬‬ & @omaistrenko.bsky.social , we asked a question (almost) as old as microbiology: how many prokaryotic species exist on Earth? More specifically, how much diversity is "hiding" in existing metagenomic data? A 🧵.

📥 You have only until 24 June to submit your abstract for 'The human microbiome'❗ 🔬💊 Explore cutting-edge breakthroughs in #microbiome research, from methodological innovations to integrative approaches and personalised therapeutics. Join #EESMicrobiome 🦠🔍 ➡️ https://s.embl.org/ees25-08-bl

Interested in microbiome GWAS and heritability studies? Check out our new Review in Nature Reviews Genetics! We explore key findings, challenges, and future directions of the field. rdcu.be/epoRR @blekhman.bsky.social @sambhawa.bsky.social and Dr. Kelsey Johnson.

I’m pleased to share that I've joined the Life Science Data Research Center at the University of Tokyo as a Project Associate Professor today! Excited to return to Japan and start this new chapter in Kashiwa! I look forward to continuing my research and new collaborations!

We're once again hosting the Human #Microbiome conference at @embl.org, organized by Ami Bhatt, Nicola Segata, Mani Arumugam and Peer Bork! We always have a great lineup of speakers, so register now and think about an abstract to submit (abstract submission deadline in June)

I’m excited to share our new paper published in Nature Communications! In our work, we discovered TANB77, a bacterial clade previously obscured by a polyphyletic grouping in conventional taxonomy, as a reliable biomarker across diverse immunotherapy recipient groups. www.nature.com/articles/s41...

It is my pleasure to invite you to the first Ukrainian School in Evolutionary Biology (USEB), which will take place in Uzhhorod University from January 27 to 31, 2025. The event is hybrid. Primary target audience is high school, undergraduate, Msc and Phd students, but everyone is welcome.

Excited to share our study led by @SakenovaNazgul! We used chemical genetics to identify and understand cross-resistance & collateral-sensitivity (CS) between antibiotics and reduced AMR development with CS drug pairs @embl.org with @camille_goemans @EPFL_en www.nature.com/articles/s41...

We're looking for a postdoc on the Computational Analysis of Environmental #Microbiome Data! www.embl.org/jobs/positio... In the past two years, #EMBL scientists have gathered more than 3000 soil, sediment and water samples from Europe's coastlines within the #TREC expedition. (1/4)

Excited to see this out in Cell! If you use microbiome data to look for disease associations, you might want to make sure microbial load is not confounding your results! www.cell.com/cell/fulltex... Congratulations @suguru-nishijima.bsky.social @borklab.bsky.social and others #microsky #microbiome

Pleased to announce that our latest paper is published in Cell! We developed a novel ML model that predicts fecal microbial load from relative species profiles, revealing it as a key factor shaping gut microbiome variation and disease-microbe associations www.sciencedirect.com/science/arti...

Excited to share our latest preprint on a novel computational tool to predict fecal microbial load solely from relative species profiles! Our study revealed that fecal microbial load is a substantial confounder in microbiome-disease association studies. www.biorxiv.org/content/10.1...