Literature DB >> 18353791

A noise model for mass spectrometry based proteomics.

Peicheng Du1, Gustavo Stolovitzky, Peter Horvatovich, Rainer Bischoff, Jihyeon Lim, Frank Suits.   

Abstract

MOTIVATION: Mass spectrometry data are subjected to considerable noise. Good noise models are required for proper detection and quantification of peptides. We have characterized noise in both quadrupole time-of-flight (Q-TOF) and ion trap data, and have constructed models for the noise.
RESULTS: We find that the noise in Q-TOF data from Applied Biosystems QSTAR fits well to a combination of multinomial and Poisson model with detector dead-time correction. In comparison, ion trap noise from Agilent MSD-Trap-SL is larger than the Q-TOF noise and is proportional to Poisson noise. We then demonstrate that the noise model can be used to improve deisotoping for peptide detection, by estimating appropriate cutoffs of the goodness of fit parameter at prescribed error rates. The noise models also have implications in noise reduction, retention time alignment and significance testing for biomarker discovery.

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Year:  2008        PMID: 18353791     DOI: 10.1093/bioinformatics/btn078

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  20 in total

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4.  A robust error model for iTRAQ quantification reveals divergent signaling between oncogenic FLT3 mutants in acute myeloid leukemia.

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5.  Suppression correction and characteristic study in liquid chromatography/Fourier transform mass spectrometry measurements.

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6.  Prospects for a statistical theory of LC/TOFMS data.

Authors:  Andreas Ipsen; Timothy M D Ebbels
Journal:  J Am Soc Mass Spectrom       Date:  2012-02-29       Impact factor: 3.109

7.  Proteomic analysis of oral cavity squamous cell carcinoma specimens identifies patient outcome-associated proteins.

Authors:  Thomas M Harris; Peicheng Du; Nicole Kawachi; Thomas J Belbin; Yanhua Wang; Nicolas F Schlecht; Thomas J Ow; Christian E Keller; Geoffrey J Childs; Richard V Smith; Ruth Hogue Angeletti; Michael B Prystowsky; Jihyeon Lim
Journal:  Arch Pathol Lab Med       Date:  2014-10-08       Impact factor: 5.534

8.  Review of peak detection algorithms in liquid-chromatography-mass spectrometry.

Authors:  Jianqiu Zhang; Elias Gonzalez; Travis Hestilow; William Haskins; Yufei Huang
Journal:  Curr Genomics       Date:  2009-09       Impact factor: 2.236

9.  A statistically rigorous test for the identification of parent-fragment pairs in LC-MS datasets.

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Journal:  Anal Chem       Date:  2010-03-01       Impact factor: 6.986

10.  ICPD-a new peak detection algorithm for LC/MS.

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Journal:  BMC Genomics       Date:  2010-12-01       Impact factor: 3.969

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