mzMLb: A Future-Proof Raw Mass Spectrometry Data Format Based on Standards-Compliant mzML and Optimized for Speed and Storage Requirements.
mzMLb: A Future-Proof Raw Mass Spectrometry Data Format Based on Standards-Compliant mzML and Optimized for Speed and Storage Requirements.
复制标题
DOI:
10.1021/acs.jproteome.0c00192
复制
发表时间:
2021-01-01
影响因子:
4.4
通讯作者:
Dowsey AW
中科院分区:
文献类型:
--
作者:
Bhamber RS;Jankevics A;Deutsch EW;Jones AR;Dowsey AW
With ever-increasing amounts of data produced by mass spectrometry (MS) proteomics and metabolomics, and the sheer volume of samples now analyzed, the need for a common open format possessing both file size efficiency and faster read/write speeds has become paramount to drive the next generation of data analysis pipelines. The Proteomics Standards Initiative (PSI) has established a clear and precise extensible markup language (XML) representation for data interchange, mzML, receiving substantial uptake; nevertheless, storage and file access efficiency has not been the main focus. We propose an HDF5 file format “mzMLb” that is optimized for both read/write speed and storage of the raw mass spectrometry data. We provide an extensive validation of the write speed, random read speed, and storage size, demonstrating a flexible format that with or without compression is faster than all existing approaches in virtually all cases, while with compression is comparable in size to proprietary vendor file formats. Since our approach uniquely preserves the XML encoding of the metadata, the format implicitly supports future versions of mzML and is straightforward to implement: mzMLb’s design adheres to both HDF5 and NetCDF4 standard implementations, which allows it to be easily utilized by third parties due to their widespread programming language support. A reference implementation within the established ProteoWizard toolkit is provided.
登录
查看更多内容
DOI:
10.1093/database/bat009
发表时间:
2013
期刊:
Database : the journal of biological databases and curation
影响因子:
--
作者:
Mayer G;Montecchi-Palazzi L;Ovelleiro D;Jones AR;Binz PA;Deutsch EW;Chambers M;Kallhardt M;Levander F;Shofstahl J;Orchard S;Vizcaíno JA;Hermjakob H;Stephan C;Meyer HE;Eisenacher M;HUPO-PSI Group
通讯作者:
HUPO-PSI Group
影响因子:
2.1
作者:
Zhang, Xing;Romm, Michelle;Baker, Erin S.
通讯作者:
Baker, Erin S.
影响因子:
4.4
作者:
Deutsch EW;Perez-Riverol Y;Chalkley RJ;Wilhelm M;Tate S;Sachsenberg T;Walzer M;Käll L;Delanghe B;Böcker S;Schymanski EL;Wilmes P;Dorfer V;Kuster B;Volders PJ;Jehmlich N;Vissers JPC;Wolan DW;Wang AY;Mendoza L;Shofstahl J;Dowsey AW;Griss J;Salek RM;Neumann S;Binz PA;Lam H;Vizcaíno JA;Bandeira N;Röst H
通讯作者:
Röst H
影响因子:
3.3
作者:
Schramm, Thorsten;Hester, Alfons;Roempp, Andreas
通讯作者:
Roempp, Andreas
影响因子:
7
作者:
Bouyssie, David;Dubois, Marc;Monsarrat, Bernard
通讯作者:
Monsarrat, Bernard