A flexible statistical model for alignment of label-free proteomics data - incorporating ion mobility and product ion information

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Benjamin, Ashlee M ^a   Thompson, J Will ^a   Soderblom, Erik J ^a   Geromanos, Scott J ^b   Henao, Ricardo ^a   Kraus, Virginia B ^a   Moseley, M Arthur ^a   Lucas, Joseph E ^c,d  

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

^b WATERS CORPORATION   (United States)

^c DUKE UNIVERSITY   (United States)

^d IQVIA   (United States)

Author keywords

Data alignment; Ion mobility; Matching; Product ions; Proteomics

Indexed keywords

COMPUTATIONAL PROCESSING; DATA ALIGNMENTS; DATA CHARACTERISTICS; ION MOBILITY; MATCHING; PHYSIOLOGICAL CONDITION; PROTEOMICS; QUANTITATIVE PROTEOMICS;

ALIGNMENT; DATA PROCESSING; IONS; MOLECULAR BIOLOGY;

PROTEINS;

DNA BINDING PROTEIN; ESCHERICHIA COLI PROTEIN; ION; PEPTIDE FRAGMENT;

BIOLOGICAL MODEL; CHEMISTRY; COMPARATIVE STUDY; ELECTROSPRAY MASS SPECTROMETRY; GENETICS; HEPATITIS C; HUMAN; METABOLISM; OSTEOARTHRITIS; PROCEDURES; PROTEOMICS; SEQUENCE ALIGNMENT; STATISTICS AND NUMERICAL DATA; TANDEM MASS SPECTROMETRY; ARTICLE; METHODOLOGY; STATISTICS;

DNA-BINDING PROTEINS; ESCHERICHIA COLI PROTEINS; HEPATITIS C; HUMANS; IONS; MODELS, GENETIC; OSTEOARTHRITIS; PEPTIDE FRAGMENTS; PROTEOMICS; SEQUENCE ALIGNMENT; SPECTROMETRY, MASS, ELECTROSPRAY IONIZATION; TANDEM MASS SPECTROMETRY;

EID: 84890276007     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-364     Document Type: Article

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