UCSD Team Frees Protein Identification From Database Searching Via 'Spectral Networks' | GenomeWeb
Researchers in Pavel Pevzner’s lab at the University of California, San Diego, have developed a new approach for mass spectrometry-based protein identification that overcomes certain limitations of commonly used software packages like Mascot, Sequest, and X!Tandem.
 
The method, called spectral network analysis, eliminates a key element of these algorithms, which match spectra against protein databases in order to identify peptides in a sample.
 

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