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Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time

BACKGROUND: With the precision of the mass spectrometry (MS) going higher, the MS file size increases rapidly. Beyond the widely-used open format mzML, near-lossless or lossless compression algorithms and formats emerged in scenarios with different precision requirements. The data precision is often...

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Autores principales: Lu, Miaoshan, An, Shaowei, Wang, Ruimin, Wang, Jinyin, Yu, Changbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756627/
https://www.ncbi.nlm.nih.gov/pubmed/35021987
http://dx.doi.org/10.1186/s12859-021-04490-0
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author Lu, Miaoshan
An, Shaowei
Wang, Ruimin
Wang, Jinyin
Yu, Changbin
author_facet Lu, Miaoshan
An, Shaowei
Wang, Ruimin
Wang, Jinyin
Yu, Changbin
author_sort Lu, Miaoshan
collection PubMed
description BACKGROUND: With the precision of the mass spectrometry (MS) going higher, the MS file size increases rapidly. Beyond the widely-used open format mzML, near-lossless or lossless compression algorithms and formats emerged in scenarios with different precision requirements. The data precision is often related to the instrument and subsequent processing algorithms. Unlike storage-oriented formats, which focus more on lossless compression rate, computation-oriented formats concentrate as much on decoding speed as the compression rate. RESULTS: Here we introduce “Aird”, an opensource and computation-oriented format with controllable precision, flexible indexing strategies, and high compression rate. Aird provides a novel compressor called Zlib-Diff-PforDelta (ZDPD) for m/z data. Compared with Zlib only, m/z data size is about 55% lower in Aird average. With the high-speed decoding and encoding performance of the single instruction multiple data technology used in the ZDPD, Aird merely takes 33% decoding time compared with Zlib. We have downloaded seven datasets from ProteomeXchange and Metabolights. They are from different SCIEX, Thermo, and Agilent instruments. Then we convert the raw data into mzML, mgf, and mz5 file formats by MSConvert and compare them with Aird format. Aird uses JavaScript Object Notation for metadata storage. Aird-SDK is written in Java, and AirdPro is a GUI client for vendor file converting written in C#. They are freely available at https://github.com/CSi-Studio/Aird-SDK and https://github.com/CSi-Studio/AirdPro. CONCLUSIONS: With the innovation of MS acquisition mode, MS data characteristics are also constantly changing. New data features can bring more effective compression methods and new index modes to achieve high search performance. The MS data storage mode will also become professional and customized. ZDPD uses multiple MS digital features, and researchers also can use it in other formats like mzML. Aird is designed to become a computing-oriented data format with high scalability, compression rate, and fast decoding speed.
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spelling pubmed-87566272022-01-18 Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time Lu, Miaoshan An, Shaowei Wang, Ruimin Wang, Jinyin Yu, Changbin BMC Bioinformatics Software BACKGROUND: With the precision of the mass spectrometry (MS) going higher, the MS file size increases rapidly. Beyond the widely-used open format mzML, near-lossless or lossless compression algorithms and formats emerged in scenarios with different precision requirements. The data precision is often related to the instrument and subsequent processing algorithms. Unlike storage-oriented formats, which focus more on lossless compression rate, computation-oriented formats concentrate as much on decoding speed as the compression rate. RESULTS: Here we introduce “Aird”, an opensource and computation-oriented format with controllable precision, flexible indexing strategies, and high compression rate. Aird provides a novel compressor called Zlib-Diff-PforDelta (ZDPD) for m/z data. Compared with Zlib only, m/z data size is about 55% lower in Aird average. With the high-speed decoding and encoding performance of the single instruction multiple data technology used in the ZDPD, Aird merely takes 33% decoding time compared with Zlib. We have downloaded seven datasets from ProteomeXchange and Metabolights. They are from different SCIEX, Thermo, and Agilent instruments. Then we convert the raw data into mzML, mgf, and mz5 file formats by MSConvert and compare them with Aird format. Aird uses JavaScript Object Notation for metadata storage. Aird-SDK is written in Java, and AirdPro is a GUI client for vendor file converting written in C#. They are freely available at https://github.com/CSi-Studio/Aird-SDK and https://github.com/CSi-Studio/AirdPro. CONCLUSIONS: With the innovation of MS acquisition mode, MS data characteristics are also constantly changing. New data features can bring more effective compression methods and new index modes to achieve high search performance. The MS data storage mode will also become professional and customized. ZDPD uses multiple MS digital features, and researchers also can use it in other formats like mzML. Aird is designed to become a computing-oriented data format with high scalability, compression rate, and fast decoding speed. BioMed Central 2022-01-12 /pmc/articles/PMC8756627/ /pubmed/35021987 http://dx.doi.org/10.1186/s12859-021-04490-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Lu, Miaoshan
An, Shaowei
Wang, Ruimin
Wang, Jinyin
Yu, Changbin
Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time
title Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time
title_full Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time
title_fullStr Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time
title_full_unstemmed Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time
title_short Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time
title_sort aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756627/
https://www.ncbi.nlm.nih.gov/pubmed/35021987
http://dx.doi.org/10.1186/s12859-021-04490-0
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