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  The ocean sampling day consortium

Kopf, A., Bicak, M., Kottmann, R., Schnetzer, J., Kostadinov, I., Lehmann, K., et al. (2015). The ocean sampling day consortium. GigaScience, online: 10.1186/s13742-015-0066-5, pp. 1-5.

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Kopf, Anna1, Author           
Bicak, Mesude, Author
Kottmann, Renzo1, Author           
Schnetzer, Julia1, Author           
Kostadinov, Ivaylo1, Author           
Lehmann, Katja, Author
Fernandez-Guerra, Antonio1, Author           
Jeanthon, Christian, Author
Rahav, Eyal, Author
Ullrich, Matthias, Author
Wichels, Antje, Author
Gerdts, Gunnar, Author
Polymenakou, Paraskevi, Author
Kotoulas, Giorgos, Author
Siam, Rania, Author
Abdallah, Rehab Z., Author
Sonnenschein, Eva C., Author
Cariou, Thierry, Author
O´Gara, Fergal, Author
Jackson, Stephen, Author
more..
Affiliations:
1Microbial Genomics Group, Department of Molecular Ecology, Max Planck Institute for Marine Microbiology, Max Planck Society, ou_2481697              
2Department of Molecular Ecology, Max Planck Institute for Marine Microbiology, Max Planck Society, ou_2481696              
3HGF MPG Joint Research Group for Deep Sea Ecology & Technology, Max Planck Institute for Marine Microbiology, Max Planck Society, ou_2481702              

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 Abstract: Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world's oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day. This will be achievable only through the coordinated efforts of an Ocean Sampling Day Consortium, supportive partnerships and networks between sites. This commentary outlines the establishment, function and aims of the Consortium and describes our vision for a sustainable study of marine microbial communities and their embedded functional traits.

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Language(s): eng - English
 Dates: 2015-01-01
 Publication Status: Issued
 Pages: 5
 Publishing info: -
 Table of Contents: -
 Rev. Type: Internal
 Identifiers: eDoc: 713120
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Title: GigaScience
Source Genre: Journal
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Publ. Info: London : BioMed Central
Pages: - Volume / Issue: online Sequence Number: 10.1186/s13742-015-0066-5 Start / End Page: 1 - 5 Identifier: ISSN: 2047-217X
CoNE: https://pure.mpg.de/cone/journals/resource/2047-217X