More than 33,000 samples were collected. While some analyses were initiated aboard Tara, the vast majority of samples were directly sent to the different collaborating laboratories for further study. The high throughput imaging and sequencing set up in working groups nº3 and 4 generate enormous amounts of results, estimated to date at about 500 Tb of raw data that need to be conscientiously archived, linked to the related physico-chemical data and associated with the corresponding sampling station.
The objectives of this working group are to:
This working group is coordinated by Ian Probert at the Roscoff Marine Station. It involves the UMR7144 and FR2424 teams of the Roscoff Marine Station, the Oceanographic Laboratory of Villefranche-sur-Mer, the Genomic & Structural Information laboratory (GSI) of Marseille, the European Molecular Biology Laboratory (EMBL) and Altran. As collaborative partners, the VIB Structural Biology Research Center and Pangaea also contribute to this project.
Samples collected during the Tara Oceans expedition were labeled with a bar code system and apportioned among our French, European and American partner laboratories (Roscoff Marine Station, Genoscope and Institut de Biologie de l’Ecole Normale Superieure - IBENS). To overcome an acute shortage of sample tracking (localization and use), OCEANOMICS aims at creating a system to enable their management.
The task is to define precisely:
Based on the results of this reflection, the management system was developed and set up at the Roscoff Marine Station. After an internal test phase, the resulting interface will be available to all partners and an evaluation process will be implemented to ensure the optimum evolution of the tool.
The objective of the task is to produce an integrated data warehouse with a single entry point to access all the primary data resulting from the Tara Oceans expedition, the production of working groups nº2, 3 and 4 and modeling results produced by working group nº5. In most cases, the data will remain archived at the location they were produced and the tool developed through this task will enable to access them via sophisticated computing requests. A web interface will allow the user to navigate through the data warehouse and search its content.
Intertwined with the task previously described, the work performed in this framework will provide the user with visualization and data analysis tools clustered in the warehouse to give easy access to primary and secondary data, as well as to the resulting ecosystem analysis. The strength of the Tara Oceans / OCEANOMICS dataset is its homogeneity, interdisciplinarity and in the different systemic levels involved: data cross-referencing will be possible on various parameters such as satellite data, gene sequences, imaging data (from viruses to zooplankton) and several types of biophysical, physical and chemical parameters for a single water column.
Comparison and analysis modules will be developed at several systemic levels:
1. Organisms:
2. Genes:
3. Ecosystems: