Database searching is an essential element of Large-scale proteomics. Because these methods are widely used, it is important to understand the rationale of the algorithms. Most algorithms are based on concepts first developed in SEQUEST and PeptideSearch. Four basic approaches are used to determine a match between a spectrum and sequence: descriptive, interpretative, stochastic and probability- based matching. We review the basic concepts used by most search algorithms, the computational modeling of peptide identification and current challenges and Limitations of this approach for protein identification.
机构:Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
Clauser, KR
;
Baker, P
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机构:Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
Baker, P
;
Burlingame, AL
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USAUniv Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
机构:Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
Clauser, KR
;
Baker, P
论文数: 0引用数: 0
h-index: 0
机构:Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
Baker, P
;
Burlingame, AL
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USAUniv Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA