 Hello, my name is Philippe Le Mercier and I'm resource manager in the Swiss Plot Group. And I'm here from Berlin and I try to make all this wonderful Swiss Plot data accessible to you over the websites. Today we are going to talk to you about adding images from Swiss BiPix to your resource, why and how. Swiss BiPix is a freely available library of interactive biological images for visualization of sub-cellular location data. It covers all cell types for kingdoms of life, ranging from muscle, neuronal, epithelial cells of animals, to rod cookie clubs, plurals and other more exotic form of bacteria and archaea. You see, for example, the animal cells are 71 locations in Swiss BiPix images. You see a budding yeast cell, which is quite different. Unicellular green algae was 47 locations and a roach sample bacteria. These are examples of the different cells that are available in Swiss BiPix. Swiss BiPix is made of interactive images. You see the demonstration on SwissBiPix.org, in which you can highlight, click on every sub-cellular location, every organelles and ever got a definition on it. It's all embedded in the pictures. The images are in SVG format and include RDFA, Schema.org markup to allow reuse of information. So basically, you can, from your data, just plug and highlight any sub-cellular locations using either the Uniprot code or the genotology accession numbers. And everything is embedded into the picture already. You just need a web interface to do so. Swiss BiPix is already used in Uniprot for sub-cellular location of protein. It's also used in open targets. And now, Javen is taking you to give instruction of how to use actually Swiss BiPix web component. So Swiss BiPix is a standard HTML element, which means that you code it and use it from HTML web pages. So, please imagine you have a very simple web page. You first introduce a dependency on the Swiss BiPix JavaScript. Then you add templates to say, hey, I would like the sub-cellular locations to be rendered like this. And then you just call the Swiss BiPix API via the Swiss BiPix element to say forward taxonomy identify 9606 or this case human. Please give me an image, which will be the best for the sub-cellular locations 18 and 20, and then render it for me, which will give you a result like this, where you get the right kind of image, the right kind of text automatically added. Now, this is really nice for a quick demo. But if you want to use it properly, please do use it as an MPM module. And if you want to do advanced styling, contact us for help. Thank you for your time. And of course, everything in any product and Swiss BiPix requires a big team to make it the best. And thank you for listening.