PT  - JOURNAL ARTICLE
AU  - Miaoshan Lu
AU  - Shaowei An
AU  - Ruimin Wang
AU  - Jinyin Wang
AU  - Changbin Yu
TI  - Aird: A computation-oriented mass spectrometry data format enables higher compression ratio and less decoding time
AID  - 10.1101/2020.10.14.338921
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.10.14.338921
4099  - http://biorxiv.org/content/early/2020/10/15/2020.10.14.338921.short
4100  - http://biorxiv.org/content/early/2020/10/15/2020.10.14.338921.full
AB  - With the precision of mass spectrometer going higher and the emergence of data independence acquisition (DIA), the file size is increasing rapidly. Beyond the widely-used open format mzML (Deutsch 2008), near-lossless or lossless compression algorithms and formats have emerged. The data precision is often related to the instrument and subsequent processing algorithms. Unlike storage-oriented formats, which focusing more on lossless compression and compression rate, computation-oriented formats focus as much on decoding speed and disk read strategy as compression rate. Here we describe “Aird", an opensource and computation-oriented format with controllable precision, flexible indexing strategies and high compression rate. Aird uses JavaScript Object Notation (JSON) for metadata storage, multiple indexing, and reordered storage strategies for higher speed of data randomly reading. Aird also provides a novel compressor called Zlib-Diff-PforDelta (ZDPD) for m/z data compression. Compared with Zlib only, m/z data size is about 65% lower in Aird, and merely takes 33% decoding time.Availability Aird SDK is written in Java, which allow scholars to access mass spectrometry data efficiently. It is available at https://github.com/Propro-Studio/Aird-SDK AirdPro can convert vendor files into Aird files, which is available at https://github.com/Propro-Studio/AirdProCompeting Interest StatementThe authors have declared no competing interest.