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MARMoSET - Extracting Publication-ready Mass Spectrometry Metadata from RAW Files.
Kiweler, Marina; Looso, Mario; Graumann, Johannes.
Afiliação
  • Kiweler M; Bioinformatics Core Unit, Max Planck Institute for Heart and Lung Research, W.G. Kerckhoff Institute, Ludwigstr. 43, Bad Nauheim, Germany.
  • Looso M; Bioinformatics Core Unit, Max Planck Institute for Heart and Lung Research, W.G. Kerckhoff Institute, Ludwigstr. 43, Bad Nauheim, Germany; The German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main. Electronic address: mario.looso@mpi-bn.mpg.de.
  • Graumann J; Scientific Service Group Biomolecular Mass Spectrometry, Max Planck Institute for Heart and Lung Research, W.G. Kerckhoff Institute, Ludwigstr. 43, Bad Nauheim, Germany; The German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main. Electronic address: johannes.graumann@mpi-bn.mpg.de.
Mol Cell Proteomics ; 18(8): 1700-1702, 2019 08.
Article em En | MEDLINE | ID: mdl-31097673
ABSTRACT
In the context of publishing data sets acquired by mass spectrometry or works based on such molecular screens, metadata documenting the instrument settings are of central importance to the evaluation and reproduction of results. A single experiment may be linked to hundreds of data acquisitions, which are frequently stored in proprietary file formats. Together with community-, repository-, as well as publisher-specific reporting standards, this state of affairs frequently leads to manual -and thus error prone-metadata extraction and formatting. Data extracted from a single file also often stand in for an entire file set, implying a risk for unreported parameter divergence. To support quality control and data reporting, the C# application MARMoSET extracts and reduces publication relevant metadata from Thermo Fischer Scientific RAW files. It is integrated with an R package for easy reporting. The tool is expected to be particularly useful to high throughput environments such as service facilities with large project numbers and/or sizes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Software / Armazenamento e Recuperação da Informação / Metadados Idioma: En Revista: Mol Cell Proteomics Assunto da revista: BIOLOGIA MOLECULAR / BIOQUIMICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Software / Armazenamento e Recuperação da Informação / Metadados Idioma: En Revista: Mol Cell Proteomics Assunto da revista: BIOLOGIA MOLECULAR / BIOQUIMICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Alemanha