For anyone learning or teaching bioinformatics, or if you’re interested in getting started, you may like to check out some of many (>230!) integrated tutorials for the Galaxy bioinformatics platform at training.galaxyproject.org/t… . The Galaxy platform is a free, easy-to-join, easy-to-use bioinformatics workflow management system that enables scientists to share, analyse and visualise their own data, without needing powerful computers and programming expertise. Galaxy was first started in 2005, and it’s grown year-on-year into an amazingly useful resource for scientists worldwide, with a global community of developers and end-users. You can read about it here: The Galaxy Community. (2022). The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update. Nucleic acids research, 50(W1). academic.oup.com/nar/article… To get started, you could first go through a few tutorials to find out how the platform works… training.galaxyproject.org/t… And then take a look at some very cool tutorials with Oxford @nanopore MinION data, for example: ⭐Analysing data to detect microbial pathogens such as Salmonella in food training.galaxyproject.org/t… ⭐Characterise the microbiome of beer training.galaxyproject.org/t… ⭐Or dive into the bacterial biodiversity of soil training.galaxyproject.org/t… Galaxy also has a well-developed community, which you can find out more about here: galaxyproject.org/community/ And, if you have a particular application you have in mind, you may be able to find a Galaxy pipeline that’s already been created as part of a published study (e.g. by searching in Google Scholar). For example, if you’d like to find antimicrobial resistance genes in Salmonella, this article and workflow may be for you: Lamas et al. (2023). Whole genome sequencing in the palm of your hand: how to implement a MinION Galaxy-based workflow in a food safety laboratory for rapid Salmonella spp. serotyping, virulence, and antimicrobial resistance gene identification. Frontiers in Microbiology, 14. ncbi.nlm.nih.gov/pmc/article… Or if you’d like to find out how to produce a reference genome for a vertebrate as part of the Earth Genome project, this will explain how it’s done: Larivière et al. (2024). Scalable, accessible and reproducible reference genome assembly and evaluation in Galaxy. Nature Biotechnology, 1-4. nature.com/articles/s41587-0… All amazing resources for people already in the bioinformatics field, but possibly even more useful for teaching the bioinformaticians of the future. This of course only covers a few aspects of the Galaxy “ecosystem”, so if it seems like it could be useful, be sure to have a look around and see what else there is out there for you. And, if you are using Galaxy for teaching, we’d love to hear about how you’re using it, especially if you have any tips or online/published resources to share! Disclaimer: Bento Lab has no affiliation with Galaxy - we just love cool tools and platforms that enable science!