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  The 1000 Genomes Project: data management and community access

The 1000 Genomes Project Consortium, Sudbrak, R., Albrecht, M., Amstislavskiy, V., Borodina, T. A., Dahl, A., et al. (2012). The 1000 Genomes Project: data management and community access. Nature methods, 9(5), 459-462. doi:10.1038/nmeth.1974.

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The 1000 Genomes Project Consortium, Author
Sudbrak, Ralf1, Author           
Albrecht, Marcus2, Author           
Amstislavskiy, Vyacheslav3, Author           
Borodina, Tatiana A.4, Author           
Dahl, Andreas1, Author           
Davydov, Alexey4, Author           
Herwig, Ralf2, Author           
Marquardt, Peter5, Author           
Mertes, Florian1, Author           
Nietfeld, Wilfried1, Author           
Parkhomchuk, Dmitri1, Author           
Soldatov, Aleksey4, Author           
Timmermann, Bernd6, Author           
Tolzmann, Marius5, Author           
Lehrach, Hans1, Author           
Affiliations:
1Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433550              
2Bioinformatics (Ralf Herwig), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479648              
3Human Chromosome 21 (Marie-Laure Yaspo), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479652              
4Technology Development(Alexey Soldatov), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479657              
5Computing (Head: Donald Buczek/Peter Marquardt), Scientific Service (Head: Christoph Krukenkamp), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479667              
6Sequencing (Head: Bernd Timmermann), Scientific Service (Head: Christoph Krukenkamp), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479670              

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Free keywords: Bioinformatics Genomics
 Abstract: The 1000 Genomes Project was launched as one of the largest distributed data collection and analysis projects ever undertaken in biology. In addition to the primary scientific goals of creating both a deep catalog of human genetic variation and extensive methods to accurately discover and characterize variation using new sequencing technologies, the project makes all of its data publicly available. Members of the project data coordination center have developed and deployed several tools to enable widespread data access.

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Language(s): eng - English
 Dates: 2012-04-27
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/nmeth.1974
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Title: Nature methods
  Other : Nature methods
Source Genre: Journal
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Publ. Info: New York, NY : Nature Pub. Group
Pages: - Volume / Issue: 9 (5) Sequence Number: - Start / End Page: 459 - 462 Identifier: ISSN: 1548-7091
CoNE: https://pure.mpg.de/cone/journals/resource/111088195279556