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A statistical method for chromatographic alignment of LC-MS data.

A statistical method for chromatographic alignment of LC-MS data. Research Abstract Details 

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  • A statistical method for chromatographic alignment of LC-MS data. Abstract Text:

    pei wangPei Wang,hua tangHua Tang,matthew p fitzgibbonMatthew P Fitzgibbon,martin mcintoshMartin McIntosh,marc coramMarc Coram,hui zhangHui Zhang,eugene yiEugene Yi,ruedi aebersoldRuedi Aebersold,

    Integrated liquid-chromatography mass-spectrometry (LC-MS) is becoming a widely used approach for quantifying the protein composition of complex samples. The output of the LC-MS system measures the intensity of a peptide with a specific mass-charge ratio and retention time. In the last few years, this technology has been used to compare complex biological samples across multiple conditions. One challenge for comparative proteomic profiling with LC-MS is to match corresponding peptide features from different experiments. In this paper, we propose a new method--Peptide Element Alignment (PETAL) that uses raw spectrum data and detected peak to simultaneously align features from multiple LC-MS experiments. PETAL creates spectrum elements, each of which represents the mass spectrum of a single peptide in a single scan. Peptides detected in different LC-MS data are aligned if they can be represented by the same elements. By considering each peptide separately, PETAL enjoys greater flexibility than time warping methods. While most existing methods process multiple data sets by sequentially aligning each data set to an arbitrarily chosen template data set, PETAL treats all experiments symmetrically and can analyze all experiments simultaneously. We illustrate the performance of PETAL on example data sets.

    A statistical method for chromatographic alignment of LC-MS data. Publishing Authors By Initials

    p wangP Wang,h tangH Tang,mp fitzgibbonMP Fitzgibbon,m mcintoshM McIntosh,m coramM Coram,h zhangH Zhang,e yiE Yi,r aebersoldR Aebersold,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    A statistical method for chromatographic alignment of LC-MS data. Journal Published:

    PUBLICATION TYPE: Research Support, N.I.H., Extr

    Journal: Biostatistics (Oxford, England)

    VOLUME: 8

    Page Numbers: 357-67

    Journal Abbreviation:

    ISSN: 1465-4644

    DAY: 31

    MONTH: 07

    YEAR: 2006

    A statistical method for chromatographic alignment of LC-MS data. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 100897327

    A statistical method for chromatographic alignment of LC-MS data. Keywords Mesh Terms:

    KEYWORDS: Spectrometry, Mass, Electrospray Ionizat

    MESH TERMS: methods

    Chemical & Substance for Abstract: A statistical method for chromatographic alignment of LC-MS data. Information

    Substance Name: Proteins

    Registry Number: 0

    Grant and Affiliation Information for A statistical method for chromatographic alignment of LC-MS data.

    AFFILIATION: Fred Hutchinson Cancer Research Center, Seattle, WA, USA. pwang@fhcrc.org

    Country: England

    England Research PublicationEngland Research Publication

    AGENCY: United States NCI

    GRANT: R21 CA114852

    ACRONYM: CA

    MEDLINETA: Biostatistics

    REFSOURCE:

    DATABASENAME:

    ACCESSION NUMBER:

    Number Hits: 0

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