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Wang et al. (2014) present an analytical tool, MixGF, which examines the statistics of spectral probabilities for mixture spectra arising from more than one peptide and thus increases identification rates in large-scale proteomics experiments.1 Co-fragmentation of multiple peptide precursors happens frequently in large-scale mass spectrometry-based proteomics experiments, and large-scale studies are becoming the norm in Read the rest of this article
The post MixGF Handles the Stats on Mixture Spectra Peptide Identifications appeared first on Accelerating Science.
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