mzIdentML: an open community-built standard format for the results of proteomics spectrum identification algorithms.
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[1] Chris F. Taylor,et al. Guidelines for reporting the use of mass spectrometry in proteomics , 2008, Nature Biotechnology.
[2] Robert J Beynon,et al. Metabolic Labeling of Proteins for Proteomics* , 2005, Molecular & Cellular Proteomics.
[3] Henning Hermjakob,et al. Annual Spring Meeting of the Proteomics Standards Initiative , 2009, Proteomics.
[4] Martin Eisenacher,et al. Using Laboratory Information Management Systems as central part of a proteomics data workflow , 2010, Proteomics.
[5] M. Ashburner,et al. The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration , 2007, Nature Biotechnology.
[6] Kai A Reidegeld,et al. An easy‐to‐use Decoy Database Builder software tool, implementing different decoy strategies for false discovery rate calculation in automated MS/MS protein identifications , 2008, Proteomics.
[7] Lennart Martens,et al. Getting a grip on proteomics data – Proteomics Data Collection (ProDaC) , 2009, Proteomics.
[8] Lennart Martens,et al. The minimum information about a proteomics experiment (MIAPE) , 2007, Nature Biotechnology.
[9] Chris F. Taylor,et al. Guidelines for reporting the use of mass spectrometry informatics in proteomics , 2008, Nature Biotechnology.