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The Rhodoexplorer Genome Database: a Multi-Scale Genomic and Transcriptomic Data Resource for the Red Algae

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Lipinska,  AP
Reproductive Isolation and Speciation in Brown Algae Group, Department Algal Development and Evolution, Max Planck Institute for Biology Tübingen, Max Planck Society;
Department Algal Development and Evolution, Max Planck Institute for Biology Tübingen, Max Planck Society;

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Citation

Brillet-Guéguen, L., Wörtwein, T., Le Bars, A., Lipinska, A., Krueger- Hadfield, S., Godfroy, O., et al. (2023). The Rhodoexplorer Genome Database: a Multi-Scale Genomic and Transcriptomic Data Resource for the Red Algae. Poster presented at 8th European Phycological Congress (EPC 2023): ”Scientific Opportunities for a Global Algal Revolution“, Brest, France.


Cite as: https://hdl.handle.net/21.11116/0000-000F-DEE3-7
Abstract
Red algae are of interest for a number of aspects, including their life cycles and reproductive biology, as domesticated and cultivated species, as invasive species, and for their characteristic cell walls. The Rhodoexplorer project aims to explore the evolution of biological complexity in the red algae through the establishment of a multi-scale genomic data resource for the red algae, including public data and new sequenced and annotated genomes. The Rhodoexplorer project involves an international con- sortium including partners at the Max Planck Institute (MPI) in Tübingen (Germany), the Roscoff Biological Station (France), the University of Sao Paulo (Brazil), Universidad Austral de Chile (Chile), the University of Alabama at Birmingham (USA), the University of Charleston (USA), GEOMAR, Kiel (Germany) and the University of Oldenburg (Germany). The ABiMS platform has developed a new web portal (https://rhodoexplorer.sb-roscoff. fr) to house the annotated genome sequences and associated resources, including genome browsers; information about the sequenced strains; assembly and annotation metrics; data download facilities; and BLAST facilities. In the context of other local genome portal projects, and of the European Reference Genome Atlas project, in partnership with two other Breton bioinformatics platforms, we are setting up an automated, modular, and FAIR system for the provision, visualization and processing of large-scale genome data: the BEAURIS pipeline (https://gitlab.com/beaur1s/beauris).