Toward high-throughput and reliable peptide identification via MS/MS spectra.
One fundamental problem in proteomics study is to identify proteins and determine their expression levels in cells. Coupled with advanced liquid chromatography, tandem mass spectrometry has become the standard tool for peptide sequencing. In the past decade, many different algorithms and software packages have been developed to support high-throughput proteomics studies. This chapter reviews and compares the computational methods and software for the interpretation of tandem mass spectra. We also present techniques to assess the reliability of peptide identification. Finally, future directions and new research paradigms in tandem mass spectrometry are discussed.
Liu
Jian
J
Center for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada.
D000595:Amino Acid Sequence; D030562:Databases, Protein; D013058:Mass Spectrometry / Q000295:instrumentation / Q000379:methods*; D010455:Peptides / Q000032:analysis* / Q000235:genetics; D020539:Sequence Analysis, Protein / Q000379:methods; D012984:Software
D010455:Peptides