 Hi everyone, my name is Wilhelm de Koning and I am currently doing my PhD at the Erasmus Medical Center in Rotterdam, the Netherlands. I am working on the data analysis of different omics types of pancreatic cancer. But today I will talk about my master project that I did at the Erasmus Medical Center on nano galaxy. So in this lightning talk I will talk about nano galaxy, which is a galaxy toolkit and workflow for long read sequence analysis. And it's a joint project between the Erasmus Medical Center and the University of Freiburg. So a short introduction on nanopore sequencing. Nanopore sequencing creates long read sequences for up to 100,000 base pairs. And this makes it easier to assemble whole genomes. Another advantage is that it can spend long repetitive genomic regions, and it should be easier to identify large structural variations. Now that long read sequencing platforms are becoming more popular. So we have a large amount of data created and we need something to be able to analyze that data fast and accurate. And therefore we have created nanopore. use galaxy.eu to be able to give the researcher the tools to analyze the data. So we have three different workflows for genome assembly. The first one is a fly based workflow for highly repetitive genomes. We have a unicycler based workflow where we you can input besides long read sequences also short read sequences. And in this way you can use both the advantages of both sequence techniques. You can use the short reads to accurately determine the SNPs. And you can use long read sequences to more accurately determine the structure of the DNA. And the last workflow that we have created is a workflow using Minimap Minism and Racken to assemble the plasmids or the chromosomes. And we added some tools that you can use to detect antibiotic resistance. So before you can go to the bioinformatics there, multiple steps that you have to take. This includes sampling the extraction sample preparation and then the actual sequencing. And you always end with the bioinformatics pipeline. And this is what you can run in the nano galaxy. In the bottom you see two example outputs of such bioinformatics pipeline. So you can see the plasmids, or you can reconstruct the genome from the sequencing. So currently we have developed four workflows. So there's also a meta genomics workflow that you can run. You can find it on nano poor dot use galaxy dot EU, but we will want to develop more because the nano poor sequencing analysis is a fast developing area. And so we would like to include more workflows and epigenetics meta transcriptomics, and therefore we would need help from the community to, to keep on developing and updating the tools we already have. On the last slide I would like to thank all the people that helped me to create to implement the tools and create the publication, publication, especially me lot, who helped me a lot throughout the process. So I would like to thank the sponsors, Seneca and support Casper. And on the right side you can see six QR codes that link you to useful websites related to nano galaxy. We have a demo from Meow Meow from the Avanshoge Schoelvreda, where she does a demo of the wet lab nano poor sequencing. We have a lecture of Astrid Heikema from the Erasmus Medical Center on Metagenomics in the clinic. There are two links to the to the hands on tutorial that we have made available as a training material for a galaxy. This is a nano galaxy instance. So this is a link towards nano poor.usegalaxy.eu. And in the right button. There is a link to the publication in case you want to read more about nano galaxy. And if you use one of our tools or work, please take into consideration to cite this publication. That is my talk. Thank you for listening. And I hope you enjoyed the rest of the conference.