Estimating probabilities of peptide database identifications to LC-FTICR-MS observations
作者： Kevin K Anderson , Matthew E Monroe , Don S Daly
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摘要: Background The field of proteomics involves the characterization peptides and proteins expressed in a cell under specific conditions. Proteomics has made rapid advances recent years following sequencing genomes an increasing number organisms. A prominent technology for high throughput analysis is use liquid chromatography coupled to Fourier transform ion cyclotron resonance mass spectrometry (LC-FTICR-MS). Meaningful biological conclusions can best be when peptide identities returned by this technique are accompanied measures accuracy confidence.
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