Literature DB >> 17496000

Data reduction of isotope-resolved LC-MS spectra.

Peicheng Du1, Rajagopalan Sudha, Michael B Prystowsky, Ruth Hogue Angeletti.   

Abstract

MOTIVATION: Data reduction of liquid chromatography-mass spectrometry (LC-MS) spectra can be a challenge due to the inherent complexity of biological samples, noise and non-flat baseline. We present a new algorithm, LCMS-2D, for reliable data reduction of LC-MS proteomics data.
RESULTS: LCMS-2D can reliably reduce LC-MS spectra with multiple scans to a list of elution peaks, and subsequently to a list of peptide masses. It is capable of noise removal, and deconvoluting peaks that overlap in m/z, in retention time, or both, by using a novel iterative peak-picking step, a 'rescue' step, and a modified variable selection method. LCMS-2D performs well with three sets of annotated LC-MS spectra, yielding results that are better than those from PepList, msInspect and the vendor software BioAnalyst. AVAILABILITY: The software LCMS-2D is available under the GNU general public license from http://www.bioc.aecom.yu.edu/labs/angellab/as a standalone C program running on LINUX.

Mesh:

Substances:

Year:  2007        PMID: 17496000     DOI: 10.1093/bioinformatics/btm083

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


  14 in total

1.  BPDA - a Bayesian peptide detection algorithm for mass spectrometry.

Authors:  Youting Sun; Jianqiu Zhang; Ulisses Braga-Neto; Edward R Dougherty
Journal:  BMC Bioinformatics       Date:  2010-09-29       Impact factor: 3.169

2.  apLCMS--adaptive processing of high-resolution LC/MS data.

Authors:  Tianwei Yu; Youngja Park; Jennifer M Johnson; Dean P Jones
Journal:  Bioinformatics       Date:  2009-05-04       Impact factor: 6.937

3.  Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics.

Authors:  Zhichao Liu; Erika P Portero; Yiren Jian; Yunjie Zhao; Rosemary M Onjiko; Chen Zeng; Peter Nemes
Journal:  Anal Chem       Date:  2019-04-15       Impact factor: 6.986

4.  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

5.  A general-purpose baseline estimation algorithm for spectroscopic data.

Authors:  Donald A Barkauskas; David M Rocke
Journal:  Anal Chim Acta       Date:  2010-01-11       Impact factor: 6.558

6.  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

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

Authors:  Jianqiu Zhang; William Haskins
Journal:  BMC Genomics       Date:  2010-12-01       Impact factor: 3.969

8.  Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics.

Authors:  Mi-Youn Brusniak; Bernd Bodenmiller; David Campbell; Kelly Cooke; James Eddes; Andrew Garbutt; Hollis Lau; Simon Letarte; Lukas N Mueller; Vagisha Sharma; Olga Vitek; Ning Zhang; Ruedi Aebersold; Julian D Watts
Journal:  BMC Bioinformatics       Date:  2008-12-16       Impact factor: 3.169

9.  Comparison of public peak detection algorithms for MALDI mass spectrometry data analysis.

Authors:  Chao Yang; Zengyou He; Weichuan Yu
Journal:  BMC Bioinformatics       Date:  2009-01-06       Impact factor: 3.169

10.  MRMer, an interactive open source and cross-platform system for data extraction and visualization of multiple reaction monitoring experiments.

Authors:  Daniel B Martin; Ted Holzman; Damon May; Amelia Peterson; Ashley Eastham; Jimmy Eng; Martin McIntosh
Journal:  Mol Cell Proteomics       Date:  2008-07-18       Impact factor: 5.911

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