A common open representation of mass spectrometry data and its application to proteomics research
- Author(s)
- Pedrioli, PGA; Eng, JK; Hubley, R; Vogelzang, M; Deutsch, EW; Raught, B; Pratt, B; Nilsson, E; Angeletti, RH; Apweiler, R; Cheung, K; Costello, CE; Hermjakob, H; Huang, S; Julian, RK; Kapp, E; McComb, ME; Oliver, SG; Omenn, G; Paton, NW; Simpson, R; Smith, R; Taylor, CF; Zhu, WM; Aebersold, R;
- Details
- Publication Year 2004-11,Volume 22,Issue #11,Page 1459-1466
- Journal Title
- NATURE BIOTECHNOLOGY
- Publication Type
- Journal Article
- Abstract
- A broad range of mass spectrometers are used in mass spectrometry (MS)-based proteomics research. Each type of instrument possesses a unique design, data system and performance specifications, resulting in strengths and weaknesses for different types of experiments. Unfortunately, the native binary data formats produced by each type of mass spectrometer also differ and are usually proprietary. The diverse, nontransparent nature of the data structure complicates the integration of new instruments into preexisting infrastructure, impedes the analysis, exchange, comparison and publication of results from different experiments and laboratories, and prevents the bioinformatics community from accessing data sets required for software development. Here, we introduce the 'mzXML' format, an open, generic XML (extensible markup language) representation of MS data. We have also developed an accompanying suite of supporting programs. We expect that this format will facilitate data management, interpretation and dissemination in proteomics research.
- Publisher
- NATURE PUBLISHING GROUP
- Keywords
- CODED AFFINITY TAGS; PROTEIN IDENTIFICATION; STATISTICAL-MODEL; SPECTRAL DATA; PEPTIDES
- Publisher's Version
- https://doi.org/10.1038/nbt1031
- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2004-11-01 12:00:00