Literature DB >> 22697456

QuaMeter: multivendor performance metrics for LC-MS/MS proteomics instrumentation.

Ze-Qiang Ma1, Kenneth O Polzin, Surendra Dasari, Matthew C Chambers, Birgit Schilling, Bradford W Gibson, Bao Q Tran, Lorenzo Vega-Montoto, Daniel C Liebler, David L Tabb.   

Abstract

LC-MS/MS-based proteomics studies rely on stable analytical system performance that can be evaluated by objective criteria. The National Institute of Standards and Technology (NIST) introduced the MSQC software to compute diverse metrics from experimental LC-MS/MS data, enabling quality analysis and quality control (QA/QC) of proteomics instrumentation. In practice, however, several attributes of the MSQC software prevent its use for routine instrument monitoring. Here, we present QuaMeter, an open-source tool that improves MSQC in several aspects. QuaMeter can directly read raw data from instruments manufactured by different vendors. The software can work with a wide variety of peptide identification software for improved reliability and flexibility. Finally, QC metrics implemented in QuaMeter are rigorously defined and tested. The source code and binary versions of QuaMeter are available under Apache 2.0 License at http://fenchurch.mc.vanderbilt.edu.

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Year:  2012        PMID: 22697456      PMCID: PMC3730131          DOI: 10.1021/ac300629p

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  14 in total

1.  Probability-based protein identification by searching sequence databases using mass spectrometry data.

Authors:  D N Perkins; D J Pappin; D M Creasy; J S Cottrell
Journal:  Electrophoresis       Date:  1999-12       Impact factor: 3.535

2.  Open mass spectrometry search algorithm.

Authors:  Lewis Y Geer; Sanford P Markey; Jeffrey A Kowalak; Lukas Wagner; Ming Xu; Dawn M Maynard; Xiaoyu Yang; Wenyao Shi; Stephen H Bryant
Journal:  J Proteome Res       Date:  2004 Sep-Oct       Impact factor: 4.466

3.  mz5: space- and time-efficient storage of mass spectrometry data sets.

Authors:  Mathias Wilhelm; Marc Kirchner; Judith A J Steen; Hanno Steen
Journal:  Mol Cell Proteomics       Date:  2011-09-29       Impact factor: 5.911

4.  MyriMatch: highly accurate tandem mass spectral peptide identification by multivariate hypergeometric analysis.

Authors:  David L Tabb; Christopher G Fernando; Matthew C Chambers
Journal:  J Proteome Res       Date:  2007-02       Impact factor: 4.466

5.  Development and validation of a spectral library searching method for peptide identification from MS/MS.

Authors:  Henry Lam; Eric W Deutsch; James S Eddes; Jimmy K Eng; Nichole King; Stephen E Stein; Ruedi Aebersold
Journal:  Proteomics       Date:  2007-03       Impact factor: 3.984

6.  Label-free comparative analysis of proteomics mixtures using chromatographic alignment of high-resolution muLC-MS data.

Authors:  Gregory L Finney; Adele R Blackler; Michael R Hoopmann; Jesse D Canterbury; Christine C Wu; Michael J MacCoss
Journal:  Anal Chem       Date:  2008-01-12       Impact factor: 6.986

7.  mzML: a single, unifying data format for mass spectrometer output.

Authors:  Eric Deutsch
Journal:  Proteomics       Date:  2008-07       Impact factor: 3.984

8.  ScanRanker: Quality assessment of tandem mass spectra via sequence tagging.

Authors:  Ze-Qiang Ma; Matthew C Chambers; Amy-Joan L Ham; Kristin L Cheek; Corbin W Whitwell; Hans-Rudolf Aerni; Birgit Schilling; Aaron W Miller; Richard M Caprioli; David L Tabb
Journal:  J Proteome Res       Date:  2011-04-26       Impact factor: 4.466

9.  IDPicker 2.0: Improved protein assembly with high discrimination peptide identification filtering.

Authors:  Ze-Qiang Ma; Surendra Dasari; Matthew C Chambers; Michael D Litton; Scott M Sobecki; Lisa J Zimmerman; Patrick J Halvey; Birgit Schilling; Penelope M Drake; Bradford W Gibson; David L Tabb
Journal:  J Proteome Res       Date:  2009-08       Impact factor: 4.466

10.  Performance metrics for liquid chromatography-tandem mass spectrometry systems in proteomics analyses.

Authors:  Paul A Rudnick; Karl R Clauser; Lisa E Kilpatrick; Dmitrii V Tchekhovskoi; Pedatsur Neta; Niksa Blonder; Dean D Billheimer; Ronald K Blackman; David M Bunk; Helene L Cardasis; Amy-Joan L Ham; Jacob D Jaffe; Christopher R Kinsinger; Mehdi Mesri; Thomas A Neubert; Birgit Schilling; David L Tabb; Tony J Tegeler; Lorenzo Vega-Montoto; Asokan Mulayath Variyath; Mu Wang; Pei Wang; Jeffrey R Whiteaker; Lisa J Zimmerman; Steven A Carr; Susan J Fisher; Bradford W Gibson; Amanda G Paulovich; Fred E Regnier; Henry Rodriguez; Cliff Spiegelman; Paul Tempst; Daniel C Liebler; Stephen E Stein
Journal:  Mol Cell Proteomics       Date:  2009-10-16       Impact factor: 5.911

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  17 in total

1.  The 2012/2013 ABRF Proteomic Research Group Study: Assessing Longitudinal Intralaboratory Variability in Routine Peptide Liquid Chromatography Tandem Mass Spectrometry Analyses.

Authors:  Keiryn L Bennett; Xia Wang; Cory E Bystrom; Matthew C Chambers; Tracy M Andacht; Larry J Dangott; Félix Elortza; John Leszyk; Henrik Molina; Robert L Moritz; Brett S Phinney; J Will Thompson; Maureen K Bunger; David L Tabb
Journal:  Mol Cell Proteomics       Date:  2015-10-04       Impact factor: 5.911

2.  Variation and quantification among a target set of phosphopeptides in human plasma by multiple reaction monitoring and SWATH-MS2 data-independent acquisition.

Authors:  Anna M Zawadzka; Birgit Schilling; Jason M Held; Alexandria K Sahu; Michael P Cusack; Penelope M Drake; Susan J Fisher; Bradford W Gibson
Journal:  Electrophoresis       Date:  2014-07-10       Impact factor: 3.535

3.  MSstatsQC: Longitudinal System Suitability Monitoring and Quality Control for Targeted Proteomic Experiments.

Authors:  Eralp Dogu; Sara Mohammad-Taheri; Susan E Abbatiello; Michael S Bereman; Brendan MacLean; Birgit Schilling; Olga Vitek
Journal:  Mol Cell Proteomics       Date:  2017-05-08       Impact factor: 5.911

4.  An Automated Pipeline to Monitor System Performance in Liquid Chromatography-Tandem Mass Spectrometry Proteomic Experiments.

Authors:  Michael S Bereman; Joshua Beri; Vagisha Sharma; Cory Nathe; Josh Eckels; Brendan MacLean; Michael J MacCoss
Journal:  J Proteome Res       Date:  2016-10-04       Impact factor: 4.466

5.  BatMass: a Java Software Platform for LC-MS Data Visualization in Proteomics and Metabolomics.

Authors:  Dmitry M Avtonomov; Alexander Raskind; Alexey I Nesvizhskii
Journal:  J Proteome Res       Date:  2016-06-28       Impact factor: 4.466

Review 6.  Quality assessment for clinical proteomics.

Authors:  David L Tabb
Journal:  Clin Biochem       Date:  2012-12-12       Impact factor: 3.281

7.  IDPQuantify: combining precursor intensity with spectral counts for protein and peptide quantification.

Authors:  Yao-Yi Chen; Matthew C Chambers; Ming Li; Amy-Joan L Ham; Jeffrey L Turner; Bing Zhang; David L Tabb
Journal:  J Proteome Res       Date:  2013-08-12       Impact factor: 4.466

8.  Implementation of statistical process control for proteomic experiments via LC MS/MS.

Authors:  Michael S Bereman; Richard Johnson; James Bollinger; Yuval Boss; Nick Shulman; Brendan MacLean; Andrew N Hoofnagle; Michael J MacCoss
Journal:  J Am Soc Mass Spectrom       Date:  2014-02-05       Impact factor: 3.109

9.  SIMPATIQCO: a server-based software suite which facilitates monitoring the time course of LC-MS performance metrics on Orbitrap instruments.

Authors:  Peter Pichler; Michael Mazanek; Frederico Dusberger; Lisa Weilnböck; Christian G Huber; Christoph Stingl; Theo M Luider; Werner L Straube; Thomas Köcher; Karl Mechtler
Journal:  J Proteome Res       Date:  2012-10-22       Impact factor: 4.466

10.  Quality Control Analysis in Real-time (QC-ART): A Tool for Real-time Quality Control Assessment of Mass Spectrometry-based Proteomics Data.

Authors:  Bryan A Stanfill; Ernesto S Nakayasu; Lisa M Bramer; Allison M Thompson; Charles K Ansong; Therese R Clauss; Marina A Gritsenko; Matthew E Monroe; Ronald J Moore; Daniel J Orton; Paul D Piehowski; Athena A Schepmoes; Richard D Smith; Bobbie-Jo M Webb-Robertson; Thomas O Metz
Journal:  Mol Cell Proteomics       Date:  2018-04-17       Impact factor: 7.381

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