Third INFOGUT Training School: Bioinformatics 101 for colon model experiments

Want to learn bioinformatics but don't know where to start?

Registration opens Monday 3 August for the Third INFOGUT Training School: Bioinformatics 101 for colon model experiments.

 IMDEA Nutrition, Madrid | 28–30 September 2026 | in person

Three days of hands-on training for complete beginners: the command line, R, statistics for colon model experiments, GitHub, workflows and FAIR data management, plus what microbiome and metabolome data actually look like.

If code and the command line make you nervous, this school is built for you. No prior experience needed. Open to all, with early career researchers prioritised and technical staff particularly welcome. 30 places.

Travel and daily allowance are covered by the INFOGUT COST Action for participants from COST countries.

Please note that you are not eligible to attend if you were selected to attend in-person the 2nd INFOGUT training school in Clermont-ferrand.

Registration closes 28 August. Details and how to apply

https://aponsero.github.io/INFOGUTWG4-TrainingSchool-2026/

#Bioinformatics #Microbiome #COSTAction #INFOGUT #ResearchTraining #GutHealth

Organisers: Enrique Carrillo de Santa Pau, Alise Ponsero

COST

COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation. (www.cost.eu)

COST Action CA23110

Scientific literature is shedding light on the centrality of GI for human health and wellbeing. Indeed, the physiologic effects of nutrients, bioactives and even toxic compounds (including foodborne pathogens) are mediated by their absorption rate in the intestine and by their interaction with gut microbiota and its host ecosystem. Testing food, feed, supplements or drugs in clinical studies gives rise to ethical issues, and the transferability of animal data across species is often problematic because of differences in physiology, metabolism and chemical susceptibilities.

MoU
062/22

CSO Approval Date
27/05/2022

Start Date
06/10/2024

End Date
05/10/2028

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