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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http://dx.doi.org/10.1186/s12859-021-04490-0 | DOI Listing |
Int J Biol Macromol
January 2025
Institute of Forest Science, Kangwon National University, Chuncheon 24341, Republic of Korea; Department of Forest Biomaterials Engineering, College of Forest and Environmental Sciences, Kangwon National University, Chuncheon 24341, Republic of Korea. Electronic address:
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View Article and Find Full Text PDFRSC Adv
January 2025
Department of Orthopedics, The Second People's Hospital of Hefei, Hefei Hospital, Affiliated to Anhui Medical University No. 246 of Heping Road, Yaohai District Hefei Anhui 230011 China
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View Article and Find Full Text PDFRadiol Case Rep
March 2025
Department of Psychiatry, Datta Meghe Institute of Medical Sciences, Sawangi, Wardha, Maharashtra 442001, India.
Tic douloureux, also known as trigeminal neuralgia, is distinguished by recurrent episodes of severe, lancinating pain that affects one or more branches of the trigeminal nerve, representing a prevalent pain syndrome. This condition has an annual incidence rate of 27 per 100,000 individuals. Nevertheless, direct compression caused by vertebrobasilar dolichoectasia (VBD) represents a considerably less frequent etiology of trigeminal neuralgia, with an estimated overall incidence of about 1%.
View Article and Find Full Text PDFSci Rep
January 2025
Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA.
Triply periodic minimal surface (TPMS) metamaterials show promise for thermal management systems but are challenging to integrate into existing packaging with strict mechanical requirements. Composite TPMS lattices may offer more control over thermal and mechanical properties through material and geometric tuning. Here, we fabricate copper-plated, 3D-printed triply periodic minimal surface primitive lattices and evaluate their suitability for battery thermal management systems.
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