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Happy to share our latest work published in PNASNews In collaboration with Yanjie Chao , we uncovered an RNase III-processed sRNA, ManS, that orchestrates sialic acid metabolism in Salmonella enterica during gut colonization. Link: doi.org/10.1073/pnas.2…

Young RNA biologist and others: The deadline for these attractive group leader positions is this weekend!

Interested in predicting AMR in bacteria? We show ignoring phylogenetic structure in genome collections leads to overly optimistic evaluations of machine learning methods for AMR prediction. With Yanying Yu and Nicole Wheeler. biorxiv.org/content/10.110…

When you find a key paper, the last thing you want is to miss related studies that could strengthen your literature review. Connected Papers can help you uncover related research. You can now save references discovered in Connected Papers directly to Paperpile. Learn more in

Interested in collecting, sharing, and interacting with large collections of bacterial functional genomics data (RNA-seq, Tn-seq/TraDIS, etc.)? Check out our new web platform, Micromix, with case studies for Salmonella and Bacteroides! Thread 1/n academic.oup.com/gigascience/ar…

🚀 New Paper Alert! 🚀 𝐑𝟐𝐃𝐓: a comprehensive platform for visualising RNA secondary structure Check it out in Nucleic Acids Res: academic.oup.com/nar/article/53… Here’s why you should give it a try 🧵👇

I am happy to tell that our collaborative review article on #PhageTherapy has been just published in Nature Reviews Methods Primers rdcu.be/d9H92

New paper, discussing open problems in bacterial phenotype prediction with ML: arxiv.org/abs/2502.07749

Presenting a new flexible web platform for sharing and integrating microbial omics data, including RNA-seq and transposon-insertion sequencing. Micromix: web infrastructure for visualizing and remixing microbial ‘omics data doi.org/10.1093/gigasc…

Very excited about our latest combining advanced cell culture, transposon-insertion sequencing, and statistical modeling to map Shigella virulence determinants in organoid models. Great collaboration w/ Maria Letizia Di Martino Sellin Lab, out in Nature Genetics nature.com/articles/s4158…

Large-scale organoid models, combined with genome-wide mutagenesis screening, reveals virulence factors required for Shigella colonization Maria Letizia Di Martino Nature Genetics Sellin Lab Lars Barquist nature.com/articles/s4158… nature.com/articles/s4158…

A study in Nature Genetics establishes the comprehensive genome-wide map of Shigella genes required to infect human intestinal epithelium. go.nature.com/3ZySYa8