 Good morning, my name is Lauren Gégain. I am a bioinformatician at the bioinformatics platform Abyns of the Roscoff Marine Station in France, Britain. I will present our work on automated deployment of genome databases for marine ground algae using galaxy genome annotation. For 10 years, many genomes of macroalgae have been sequenced, like Honduras, Sakharina, Kladosifan. It is worth mentioning the favorite core project that aims to produce genome and transcriptome data for 40 ground algae and four sister species. A lot of data is generated. In addition to sequencing data, there are gene predictions, arguments, annotations. And to explore and use this data, it is necessary to be able to centralize, visualize, annotate, and share it. The GMOD tools can meet these needs. GMOD is a set of interconnected open source applications and databases to visualize, annotate, and manage generic data with the most popular on the right of the slide, including Galaxy. On the Abyns platform in Roscoff, we have chosen these tools. We used Shadow as a relational database to organize and store data. We tested triple to display analysis data for each gene. We used the genome browser Gebros, a web application, to visualize the reference genome and mapped genomic data, like predicted genes and transcripts, reads, and expression data. And its counterpart for collaborative manipulation, Apollo. The data for each organism was imported and stored in Shadow and was then processed for display in Gebros and Apollo, which requires some manual actions and configurations. In 2016, the Abyns platform hosted 11 genomes in Gebros and six genomes in Apollo, and a hundred of Picosiano bacteria genomes, and 40 Fairwood flower-prone algal genomes were expected. And the manual deployment of the tools became tedious. It was error-prone, time-consuming, and the cost of maintenance was quite high. So in 2019, we started a collaboration with the GeneWest and Vipa Bioinformatics platforms in Ren to use a new deployment environment from the Galaxy Genome Annotation Projects. GGA aims to provide tools, applications, infrastructure, and materials to help for genome visualization and annotation based on Galaxy and GMOD tools. GGA is an initiative from the Galaxy and the GMOD communities. Analysis tools for gene prediction, functional annotation, and visualization have been added to the IUC repository of Galaxy tools. GGA also provides a comprehensive and scalable environment of interconnected GMOD visualization tools. GMOD tools have been localized. Person libraries developed to make them work together with Galaxy tools to interact with GMOD applications. The GGA project also initiated the Galaxy flavor and some training materials to support prokaryote and eukaryote genome annotations. On the RIMS platform, we set up the GMOD visualization tools infrastructure to deploy for each algal species an integrated environment with shadow, chevros, and triple. This system brings important gains in speed and reproducibility of deployments. For the favorite core project, we have 57 genomes with the genome assembly, predicted genes and transcripts, functional annotations, and de novo transcriptome that we want to integrate into GGA environments. To facilitate the deployment and the administration of the TGS services for a bunch of genomes, Arthur, Lubas, and I have developed a set of tools allowing mass deployment of TGS services and automated data loading with Python using Galaxy bioblane API and Galaxy workflows. On top of that, we have developed a Django web portal to provide the community with the hub for accessing all the resources. Genome browsers, triple pages, blast interfaces built with second server, metadata and annotation statistics, links to external databases, and unknowable data sets. The next steps will be to support more types of data, to add links with genome-scaned tablet networks. An ongoing work is to cloudify the GGA tool suite and implement it in the European Open Science Cloud. We intend to deploy a similar web portal for web RG. And in the context of genome sequencing programs of a large and diverse number of spaces like ERGA, the automated deployment of such infrastructures could bring to scientific possessions a simplified solution for collaborative environments. I would like to thank all these people from the Hostcoff Marine Station, the BIPA and Genoese platforms, and the community. Finally, if you are interested, come see Arthur and I at lunchtime in the European time zone for our poster demonstration. I'm also announcing Roman and Tilda's poster demonstration on TGA in the cloud tomorrow. Thank you for your attention.