Abstract
To deal with the data flood of current mass spectrometry methods, standard data formats are needed. The Proteomics Standards Initiative (PSI) of the Human Proteome Organisation (HUPO) develops open storage and transfer standards for and with the community. The Proteomics Informatics work group of the PSI has recently released an XML-based format to store the parameters and results of spectrum identification algorithms (the so-called search engines), which identify peptides and/or proteins from mass spectra. Here, this format called “mzIdentML” is described by giving principle design concepts and presenting examples of important use cases.
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Acknowledgments
Martin Eisenacher is funded by CLIB (“Cluster Industrielle Biotechnologie”) project 616 40003 0315413B (Q-ProM). The author wants to thank David Creasy, Andy Jones, Andreas Bertsch, and all other members of the Proteomics Informatics work group for fruitful discussions.
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Eisenacher, M. (2011). mzIdentML: An Open Community-Built Standard Format for the Results of Proteomics Spectrum Identification Algorithms. In: Hamacher, M., Eisenacher, M., Stephan, C. (eds) Data Mining in Proteomics. Methods in Molecular Biology, vol 696. Humana Press. https://doi.org/10.1007/978-1-60761-987-1_10
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DOI: https://doi.org/10.1007/978-1-60761-987-1_10
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