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MARMoSET – Extracting Publication-ready Mass Spectrometry Metadata from RAW Files
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, whi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Biochemistry and Molecular Biology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683000/ https://www.ncbi.nlm.nih.gov/pubmed/31097673 http://dx.doi.org/10.1074/mcp.TIR119.001505 |
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author | Kiweler, Marina Looso, Mario Graumann, Johannes |
author_facet | Kiweler, Marina Looso, Mario Graumann, Johannes |
author_sort | Kiweler, Marina |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6683000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-66830002019-08-07 MARMoSET – Extracting Publication-ready Mass Spectrometry Metadata from RAW Files Kiweler, Marina Looso, Mario Graumann, Johannes Mol Cell Proteomics Technological Innovation and Resources 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. The American Society for Biochemistry and Molecular Biology 2019-08 2019-05-16 /pmc/articles/PMC6683000/ /pubmed/31097673 http://dx.doi.org/10.1074/mcp.TIR119.001505 Text en © 2019 Kiweler et al. Published by The American Society for Biochemistry and Molecular Biology, Inc. Author's Choice—Final version open access under the terms of the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0) . |
spellingShingle | Technological Innovation and Resources Kiweler, Marina Looso, Mario Graumann, Johannes MARMoSET – Extracting Publication-ready Mass Spectrometry Metadata from RAW Files |
title | MARMoSET – Extracting Publication-ready Mass Spectrometry Metadata from RAW Files |
title_full | MARMoSET – Extracting Publication-ready Mass Spectrometry Metadata from RAW Files |
title_fullStr | MARMoSET – Extracting Publication-ready Mass Spectrometry Metadata from RAW Files |
title_full_unstemmed | MARMoSET – Extracting Publication-ready Mass Spectrometry Metadata from RAW Files |
title_short | MARMoSET – Extracting Publication-ready Mass Spectrometry Metadata from RAW Files |
title_sort | marmoset – extracting publication-ready mass spectrometry metadata from raw files |
topic | Technological Innovation and Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683000/ https://www.ncbi.nlm.nih.gov/pubmed/31097673 http://dx.doi.org/10.1074/mcp.TIR119.001505 |
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