4.7 Article

mz5: Space- and Time-efficient Storage of Mass Spectrometry Data Sets

Journal

MOLECULAR & CELLULAR PROTEOMICS
Volume 11, Issue 1, Pages -

Publisher

AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC
DOI: 10.1074/mcp.O111.011379

Keywords

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Funding

  1. National Institutes of Health [R01-CA126218-05, R01-NS066973-01, R01-GM094844-01]
  2. Alexander von Humboldt Foundation [DEU/1134241]
  3. NATIONAL CANCER INSTITUTE [R01CA126218] Funding Source: NIH RePORTER
  4. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM094844] Funding Source: NIH RePORTER
  5. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS066973] Funding Source: NIH RePORTER

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Across a host of MS-driven-omics fields, researchers witness the acquisition of ever increasing amounts of high throughput MS data and face the need for their compact yet efficiently accessible storage. Addressing the need for an open data exchange format, the Proteomics Standards Initiative and the Seattle Proteome Center at the Institute for Systems Biology independently developed the mzData and mzXML formats, respectively. In a subsequent joint effort, they defined an ontology and associated controlled vocabulary that specifies the contents of MS data files, implemented as the newer mzML format. All three formats are based on XML and are thus not particularly efficient in either storage space requirements or read/write speed. This contribution introduces mz5, a complete reimplementation of the mzML ontology that is based on the efficient, industrial strength storage backend HDF5. Compared with the current mzML standard, this strategy yields an average file size reduction to similar to 54% and increases linear read and write speeds similar to 3-4-fold. The format is implemented as part of the ProteoWizard project and is available under a permissive Apache license. Additional information and download links are available from http://software.steenlab.org/mz5. Molecular & Cellular Proteomics 11: 10.1074/mcp.O111.011379, 1-5, 2012.

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