ISB’s virtual course and symposium focusing on the microbiome and its future role in precision medicine will take place on October 15 and 16. The event’s website went live earlier this week. The virtual course will be taught by Sean Gibbons, Christian Diener, Tomasz Wilmanski, Noa Rappaport, Alex Carr, Priyanka Baloni and Nathan Price. Symposium speakers are Jason Papin (University of Virginia), Ines Thiele (National University of Ireland, Galway), Thomas…
There is a dichotomy between Bacteroides- and Prevotella-dominated guts — two common gut bacterial genera — and there is a significant barrier when it comes to transitioning from one to the other.
Freaked out about a “germy” bathroom? You don’t need to be. ISB Assistant Professor and microbiome researcher Dr. Sean Gibbons was featured prominently in an article, headlined “The Germiest Place in your Bathroom Isn’t Your Toilet,” published online by TIME.
The human microbiome is a relatively new area of research, and there are numerous questions surrounding it. What is the human microbiome? Can we change it? Does it make us sick? Keep us well? ISB Assistant Professor and microbiome researcher Dr. Sean Gibbons answers these questions — and many more.
“This new organ that we’re coming to recognize as the microbiome is part and parcel to the functionality of the whole system, and if it breaks down, if it starts to fall apart, we start to get sick,” said Dr. Sean Gibbons, ISB’s newest faculty member, in a WGBH Forum Network presentation.
Dr. Sean Gibbons has joined ISB as our newest faculty member. Gibbons’ new position brings a number of changes, including relocating to the Pacific Northwest from the Northeast. Read on for a Q&A with Gibbons that sheds light on his research career to date, areas of study and even a hidden talent.
Batch Effects in 16S Datasets Complicate Cross-Study Comparisons High-throughput data generation platforms, like mass-spectrometry, microarrays, and second-generation sequencing are susceptible to batch effects due to run-to-run variation in reagents, equipment, protocols, or personnel. Currently, batch correction methods are not commonly applied to microbiome sequencing datasets. In this paper, we compare different batch-correction methods applied to microbiome case-control studies. We introduce a model-free normalization procedure where features (i.e. bacterial taxa) in…