Assessment of metabolome annotation quality: A method for evaluating the false discovery rate of elemental composition searches

PLoS ONE

Volumn 4, Issue 10, 2009, Pages

  Matsuda, Fumio ^a   Shinbo, Yoko ^b   Oikawa, Akira ^a   Hirai, Masami Yokota ^a,c   Flehn, Oliver ^d   Kanaya, Shigehiko ^a,b,c   Saito, Kazuki ^a,e  

^a RIKEN   (Japan)

^b NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

^c JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e CHIBA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ANALYTIC METHOD; ARTICLE; CONTROLLED STUDY; DATA BASE; FALSE DISCOVERY RATE; METABOLOMICS; MONTE CARLO METHOD; QUALITY CONTROL; SEARCH ENGINE; THEORETICAL STUDY; TIME OF FLIGHT MASS SPECTROMETRY; ARABIDOPSIS; BIOLOGY; COMPUTER PROGRAM; FACTUAL DATABASE; FOURIER ANALYSIS; LABORATORY DIAGNOSIS; METABOLISM; METABOLOME; METHODOLOGY; RICE; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS; STATISTICAL ANALYSIS; TANDEM MASS SPECTROMETRY;

VEGETABLE PROTEIN;

ARABIDOPSIS; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; DATABASES, FACTUAL; FALSE POSITIVE REACTIONS; FOURIER ANALYSIS; METABOLOME; METABOLOMICS; ORYZA SATIVA; PLANT PROTEINS; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE; TANDEM MASS SPECTROMETRY;

EID: 70449436059     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0007490     Document Type: Article

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