A computational approach toward label-free protein quantification using predicted peptide detectability

Bioinformatics

Volumn 22, Issue 14, 2006, Pages

  Tang, Haixu ^a,b   Arnold, Randy J ^b   Alves, Pedro ^a   Xun, Zhiyin ^b   Clemmer, David E ^b   Novotny, Milos V ^b   Reilly, James P ^b   Radivojac, Predrag ^a  

^a INDIANA UNIVERSITY   (United States)

^b INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PEPTIDE;

ACCURACY; AMINO ACID SEQUENCE; CALIBRATION; COMPUTER ANALYSIS; CONFERENCE PAPER; GENE IDENTIFICATION; HIGH THROUGHPUT SCREENING; HYPOTHESIS; LIQUID CHROMATOGRAPHY; NONHUMAN; NUCLEOTIDE SEQUENCE; PREDICTION; PRIORITY JOURNAL; PROBABILITY; PROMOTER REGION; PROTEIN ANALYSIS; PROTEOMICS; QUANTITATIVE ANALYSIS; SEQUENCE ANALYSIS; STANDARDIZATION; TANDEM MASS SPECTROMETRY;

EID: 33747885134     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btl237     Document Type: Conference Paper

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