The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results
Open accessAbstract
We report the release of mzIdentML, an exchange standard for peptide and protein identification data, designed by the Proteomics Standards Initiative. The format was developed by the Proteomics Standards Initiative in collaboration with instrument and software vendors, and the developers of the major open-source projects in proteomics. Software implementations have been developed to enable conversion from most popular proprietary and open-source formats, and mzIdentML will soon be supported by the major public repositories. These developments enable proteomics scientists to start working with the standard for exchanging and publishing data sets in support of publications and they provide a stable platform for bioinformatics groups and commercial software vendors to work with a single file format for identification data.
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Elias, J. E., & Gygi, S. P. (2007) · Nature Methods · doi:10.1038/nmeth1019 · Cited by 3,925
ProteoWizard: open source software for rapid proteomics tools development
Kessner, D., Chambers, M., Burke, R., Agus, D., & Mallick, P. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn323 · Cited by 2,024
Self-citationDesiere, F. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj040 · Cited by 910
Assigning Significance to Peptides Identified by Tandem Mass Spectrometry Using Decoy Databases
Käll, L., Storey, J. D., MacCoss, M. J., & Noble, W. S. (2008) · Journal of Proteome Research · doi:10.1021/pr700600n · Cited by 607
Cited by
ProteomeXchange provides globally coordinated proteomics data submission and dissemination
Vizcaíno, J. A., Deutsch, E. W., Wang, R., Csordas, A., Reisinger, F., Ríos, D., Dianes, J. A., Sun, Z., Farrah, T., Bandeira, N., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.2839 · Cited by 2,729
Self-citationThe Proteomics Identifications (PRIDE) database and associated tools: status in 2013
Vizcaíno, J. A., Côté, R. G., Csordas, A., Dianes, J. A., Fabregat, A., Foster, J. M., Griss, J., Alpi, E., Birim, M., Contell, J., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1262 · Cited by 1,918
Self-citationMS-GF+ makes progress towards a universal database search tool for proteomics
Kim, S., & Pevzner, P. A. (2014) · Nature Communications · doi:10.1038/ncomms6277 · Cited by 1,098
PeptideShaker enables reanalysis of MS-derived proteomics data sets
Vaudel, M., Burkhart, J. M., Zahedi, R. P., Oveland, E., Berven, F. S., Sickmann, A., Martens, L., & Barsnes, H. (2015) · Nature Biotechnology · doi:10.1038/nbt.3109 · Cited by 522
Deutsch, E. W., Mendoza, L., Shteynberg, D., Slagel, J., Sun, Z., & Moritz, R. L. (2015) · PROTEOMICS – Clinical Applications · doi:10.1002/prca.201400164 · Cited by 342
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Metadata
- Authors
- Jones, A. R., Eisenacher, M., Mayer, G., Kohlbacher, O., Siepen, J., Hubbard, S. J., Selley, J. N., Searle, B. C., Shofstahl, J., Seymour, S. L., Julian, R., Binz, P.-A., Deutsch, E. W., Hermjakob, H., Reisinger, F., Griss, J., Vizcaíno, J. A., Chambers, M., Pizarro, A., & Creasy, D.
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 11
- Issue
- 7
- Pages
- M111.014381-1-M111.014381-10
- ISSN
- 1535-9476 (ISSN-L)
- OpenAlex
- W2111846704
- Cited by
- 199
- References
- 4
- FWCI
- 11.44
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Jones, A. R., Eisenacher, M., Mayer, G., Kohlbacher, O., Siepen, J., Hubbard, S. J., Selley, J. N., Searle, B. C., Shofstahl, J., Seymour, S. L., Julian, R., Binz, P.-A., Deutsch, E. W., Hermjakob, H., Reisinger, F., Griss, J., Vizcaíno, J. A., Chambers, M., Pizarro, A., & Creasy, D. (2012). The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results. Molecular & Cellular Proteomics. https://doi.org/10.1074/mcp.m111.014381
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
