IPM: An integrated protein model for false discovery rate estimation and identification in high-throughput proteomics

Journal of Proteomics

Volumn 75, Issue 1, 2011, Pages 116-121

  Higdon, Roger ^a,b,c   Reiter, Lukas ^d,e   Hather, Gregory ^a,b   Haynes, Winston ^a,f   Kolker, Natali ^b,c   Stewart, Elizabeth ^a,b   Bauman, Andrew T ^a,b   Picotti, Paola ^e   Schmidt, Alexander ^e,g   van Belle, Gerald ⁱ   Aebersold, Ruedi ^d,e,h,j   Kolker, Eugene ^a,b,c,i  

^a Bioinformatics and High throughput Analysis Laboratory   (United States)

^b SEATTLE CHILDREN S RESEARCH INSTITUTE   (United States)

^c SEATTLE CHILDREN S HOSPITAL   (United States)

^d UNIVERSITY OF ZURICH   (Switzerland)

^e ETH ZURICH   (Switzerland)

^f HENDRIX COLLEGE   (United States)

^g UNIVERSITY OF BASEL   (Switzerland)

^h ETH Zurich   (Switzerland)

ⁱ UNIVERSITY OF WASHINGTON   (United States)

^j INSTITUTE FOR SYSTEMS BIOLOGY   (United States)

more..

Author keywords

Decoy database; False discovery rate; Mass spectrometry; Protein identification

Indexed keywords

PROTEIN;

ANALYTIC METHOD; ARTICLE; FALSE DISCOVERY RATE; FALSE POSITIVE RESULT; HIGH THROUGHPUT SCREENING; INTEGRATED PROTEIN MODEL; MASS SPECTROMETRY; MAYU METHOD; MOLECULAR MODEL; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEOMICS; SYSTEMATIC PROTEIN INVESTIGATIVE RESEARCH ENVIRONMENT; CHEMICAL MODEL; CHEMISTRY; LABORATORY DIAGNOSIS; METHODOLOGY; PROTEIN DATABASE;

DATABASES, PROTEIN; FALSE POSITIVE REACTIONS; HIGH-THROUGHPUT SCREENING ASSAYS; MASS SPECTROMETRY; MODELS, CHEMICAL; PROTEINS; PROTEOMICS;

EID: 84858713354     PISSN: 18743919     EISSN: 18767737     Source Type: Journal    
DOI: 10.1016/j.jprot.2011.06.003     Document Type: Article

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