Data analysis strategy for maximizing high-confidence protein identifications in complex proteomes such as human tumor secretomes and human serum

Journal of Proteome Research

Volumn 10, Issue 11, 2011, Pages 4993-5005

  Wang, Huan ^a   Tang, Hsin Yao ^a   Tan, Glenn C ^a,b   Speicher, David W ^a  

^a WISTAR INSTITUTE   (United States)

^b NewYork Presbyterian Hospital   (United States)

Author keywords

complex proteome; data filtering; database search; mass accuracy; partial tryptic peptide; peptide false discovery rate (FDR); search time; trypsin

Indexed keywords

PEPTIDE; PROTEOME; SECRETOME; TRYPSIN; TUMOR PROTEIN; UNCLASSIFIED DRUG;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; COMPLEX FORMATION; DATA BASE; FILTER; HUMAN; MASS SPECTROMETRY; OVARY TUMOR; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN PURIFICATION; SERUM;

AMINO ACID SEQUENCE; BLOOD PROTEINS; DATA INTERPRETATION, STATISTICAL; FALSE POSITIVE REACTIONS; FEMALE; HUMANS; MOLECULAR SEQUENCE DATA; NEOPLASM PROTEINS; OVARIAN NEOPLASMS; PEPTIDE FRAGMENTS; PROTEIN PROCESSING, POST-TRANSLATIONAL; PROTEOLYSIS; PROTEOME; TANDEM MASS SPECTROMETRY;

EID: 80655135415     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr200464c     Document Type: Article

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