 Hello, I am Peter van Hersten from the South African National Bioinformatics Institute in Cape Town, South Africa, and I want to talk to you about the galaxy public health community. So firstly, what is public health. So public health is beyond medicine is the science of protecting and improving the health of people and their communities. Now, my particular focus is the part that is responsible for detecting preventing and responding to infectious diseases. So when we are doing this the detecting and responding to infectious diseases, then we have to move fast. The tools that we use have to be reliable that is they need to work every time and give reliable results. And the tools need to be accessible to a wide community of people who might not be bioinformaticians as their main job all the time. So Galaxy already has a community of use in public health. So we've got projects like Galaxy Tracker from the US FDA. We have the Aries Galaxy server from ISS in Italy, San Sano in Belgium, Art Bio in France, and then more specialized resources like Hi-Fi at Temple University in the USA that's looking at evolution. And internally groups in the public health realm like the National Institute for Communicable Diseases in South Africa, Sanbi where I work, and the Quadrum Institute in the UK also use Galaxy for public health purposes. So earlier this year, we decided that coming together to form a kind of special interest group for the use of Galaxy in public health makes sense. And so we pinned a little mission that the Galaxy public health community invites participation towards building and sharing resources that enhance Galaxy's utility for those working in public health, including researchers, clinicians, epidemiologists and more. So what are some of the things that are strengths and challenges for Galaxy in public health. Firstly, we need to be building tools and workflows together. We already have a vibrant community doing this with Galaxy, but there are always too few research software engineers. And we have to work to make sure that no useful tool is left behind. What I mean by that is that sometimes we find that projects are difficult to maintain for the people who created them. So it takes community effort to ensure that valuable tools are supported. Obviously we're talking about open source tools here. I'm hoping that we can embrace Galaxy projects like the intergalactic workflow commission, because a lot of what we do in public health involves chaining tools into workflows, and not just running individual tools. And IWC gives us an opportunity to look at making quality shareable workflows in the way that we do with tools at the moment, but now for whole workflows. There are particular data management challenges that especially affect us as people trying to respond to infectious diseases. So organizing and accessing reference data when we're not talking about a single genome is quite challenging. And in public health, we care about more than just sequences. So when we have a reference data collection, we want to know where did these sequences come from and when were they collected so that we can use this data to put new sequences in context. For instance, when we are building phylogenies. We also need to advocate in the Galaxy community about enhancing Galaxy support for reporting and usability with kind of batch data sets that we've got. So the kind of workflow that we often get in public health is that you get a batch of sequences from your sequencing facility, and you want to create an overall report, perhaps on genomic diversity or the serotypes that you've got in a sample, drag resistance and things like that. So this is typically a report that you're handing to non bioinformaticians. And our workflows are often non linear. So the first thing that we do is we get quality control at various stages, and that might mean stop go decisions about whether we're going to analyze samples further so it's not just about running one workflow and start to finish, we might want to eliminate some samples as we go along. And then we might want to go back and reanalyze samples so maybe we can resequence something or change some parameters and then update the same final report that I was talking about. So we can use features like the workflow reporting feature, but at the moment a lot of this is done by writing special purpose Galaxy tools for for report writing. We have to embrace training and the Galaxy training network is a great resource there, and perhaps this can be integrated within public health training, and then reaching out beyond Galaxy. So we are having a birds were feather meeting so don't miss that. And then the public health Alliance for genomic epidemiology phase has working groups on workflows infrastructure quality control and validation and training and workforce development that are all useful places to collaborate with. And then on a regional basis we could work with groups like elixir and more that is still in a nascent stage. So I would like to thank all of these people for the insight they gave me into their work with Galaxy and public health. And I look forward to your questions.