Channeling the data deluge

Jason R. Swedlow; Gianluigi Zanetti; Christoph Best

doi:10.1038/nmeth.1616

Channeling the data deluge

Jason R. Swedlow
, Gianluigi Zanetti
, Christoph Best

Research output: Contribution to journal › Editorial › peer-review

11 Citations (Scopus)

Abstract

With vast increases in biological data generation, mechanisms for data storage and analysis have become limiting. A data structure, semantically typed data hypercubes (SDCubes), that combines hierarchical data format version 5 (HDF5) and extensible markup language (XML) file formats, now permits the flexible storage, annotation and retrieval of large and heterogenous datasets.

Original language	English
Pages (from-to)	463-465
Number of pages	3
Journal	Nature Methods
Volume	8
Issue number	6
DOIs	https://doi.org/10.1038/nmeth.1616
Publication status	Published - Jun 2011

Keywords

MINIMUM INFORMATION
WORKFLOWS
TOOL

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10.1038/nmeth.1616

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AB - With vast increases in biological data generation, mechanisms for data storage and analysis have become limiting. A data structure, semantically typed data hypercubes (SDCubes), that combines hierarchical data format version 5 (HDF5) and extensible markup language (XML) file formats, now permits the flexible storage, annotation and retrieval of large and heterogenous datasets.

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KW - WORKFLOWS

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Channeling the data deluge

Abstract

Keywords

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