Some great work from @debapowers with support from @mattagenomics and @kolling_g. #PLOSCompBio: Network analysis of toxin production in Clostridioides difficile identifies key metabolic dependencies https://t.co/cpg4G41ROx
We are using neural nets to predict gene expression data on an omics level from chromatin accessibility! Ask more to the Papins team ! @EmmaGlass33@papinsysbio @Joe_Ficarrota @Conor_Moore@Will_Shao
@lillianrdillard led this effort to construct metabolic models of many bacterial species in the vaginal microbiome. Her models generated some fascinating insight into key metabolic dependencies. https://t.co/VjetMqs5B3
@EmmaGlass33 led this wonderful new analysis with support from @lillianrdillard and Andrew Warren @UVA_BI. @UVABME@uva_bims Physiological niche informs evolution of metabolic function and corresponding drug targets of pathobionts https://t.co/KA8kYSpeyy
Systems biology gives new insight into the vaginal microbiome, which is critical to women's health. Check out this new review written in collaboration with @papinsysbio and @lillianrdillard.
https://t.co/QZSgcGZZGA
Important work enabling sex-specific modelling in drug toxicological responses, also addressing the historical underrepresentation of women in clinical studies. @papinsysbio@UVABME#COBRAcon2022
Excited for this new preprint to be out with @mattagenomics! A new network reconstruction tool with COBRApy compatibility and pFBA gap-filling. @uva_sbds_tg@papinsysbio
Sean Moore, MD and Jason Papin, PhD, Discover How Microbes in Our Guts Regulate the Body’s Biological Clock. Their findings are published in the journal Gastroenterology. Congrats to them and their team!
https://t.co/Slmy3MyWYF