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Toffee – a highly efficient, lossless file format for DIA-MS

The closed nature of vendor file formats in mass spectrometry is a significant barrier to progress in developing robust bioinformatics software. In response, the community has developed the open mzML format, implemented in XML and based on controlled vocabularies. Widely adopted, mzML is an importan...

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Autor principal: Tully, Brett
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265431/
https://www.ncbi.nlm.nih.gov/pubmed/32488104
http://dx.doi.org/10.1038/s41598-020-65015-y
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author Tully, Brett
author_facet Tully, Brett
author_sort Tully, Brett
collection PubMed
description The closed nature of vendor file formats in mass spectrometry is a significant barrier to progress in developing robust bioinformatics software. In response, the community has developed the open mzML format, implemented in XML and based on controlled vocabularies. Widely adopted, mzML is an important step forward; however, it suffers from two challenges that are particularly apparent as the field moves to high-throughput proteomics: large increase in file size, and a largely sequential I/O access pattern. Described here is ‘toffee’, an open, random I/O format backed by HDF5, with lossless compression that gives file sizes similar to the original vendor format and can be reconverted back to mzML without penalty. It is shown that mzML and toffee are equivalent when processing data using OpenSWATH algorithms, in additional to novel applications that are enabled by new data access patterns. For instance, a peptide-centric deep-learning pipeline for peptide identification is proposed. Documentation and examples are available at https://toffee.readthedocs.io, and all code is MIT licensed at https://bitbucket.org/cmriprocan/toffee.
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spelling pubmed-72654312020-06-05 Toffee – a highly efficient, lossless file format for DIA-MS Tully, Brett Sci Rep Article The closed nature of vendor file formats in mass spectrometry is a significant barrier to progress in developing robust bioinformatics software. In response, the community has developed the open mzML format, implemented in XML and based on controlled vocabularies. Widely adopted, mzML is an important step forward; however, it suffers from two challenges that are particularly apparent as the field moves to high-throughput proteomics: large increase in file size, and a largely sequential I/O access pattern. Described here is ‘toffee’, an open, random I/O format backed by HDF5, with lossless compression that gives file sizes similar to the original vendor format and can be reconverted back to mzML without penalty. It is shown that mzML and toffee are equivalent when processing data using OpenSWATH algorithms, in additional to novel applications that are enabled by new data access patterns. For instance, a peptide-centric deep-learning pipeline for peptide identification is proposed. Documentation and examples are available at https://toffee.readthedocs.io, and all code is MIT licensed at https://bitbucket.org/cmriprocan/toffee. Nature Publishing Group UK 2020-06-02 /pmc/articles/PMC7265431/ /pubmed/32488104 http://dx.doi.org/10.1038/s41598-020-65015-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Tully, Brett
Toffee – a highly efficient, lossless file format for DIA-MS
title Toffee – a highly efficient, lossless file format for DIA-MS
title_full Toffee – a highly efficient, lossless file format for DIA-MS
title_fullStr Toffee – a highly efficient, lossless file format for DIA-MS
title_full_unstemmed Toffee – a highly efficient, lossless file format for DIA-MS
title_short Toffee – a highly efficient, lossless file format for DIA-MS
title_sort toffee – a highly efficient, lossless file format for dia-ms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265431/
https://www.ncbi.nlm.nih.gov/pubmed/32488104
http://dx.doi.org/10.1038/s41598-020-65015-y
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