Literature DB >> 21401061

PeakML/mzMatch: a file format, Java library, R library, and tool-chain for mass spectrometry data analysis.

Richard A Scheltema1, Andris Jankevics, Ritsert C Jansen, Morris A Swertz, Rainer Breitling.   

Abstract

The recent proliferation of high-resolution mass spectrometers has generated a wealth of new data analysis methods. However, flexible integration of these methods into configurations best suited to the research question is hampered by heterogeneous file formats and monolithic software development. The mzXML, mzData, and mzML file formats have enabled uniform access to unprocessed raw data. In this paper we present our efforts to produce an equally simple and powerful format, PeakML, to uniformly exchange processed intermediary and result data. To demonstrate the versatility of PeakML, we have developed an open source Java toolkit for processing, filtering, and annotating mass spectra in a customizable pipeline (mzMatch), as well as a user-friendly data visualization environment (PeakML Viewer). The PeakML format in particular enables the flexible exchange of processed data between software created by different groups or companies, as we illustrate by providing a PeakML-based integration of the widely used XCMS package with mzMatch data processing tools. As an added advantage, downstream analysis can benefit from direct access to the full mass trace information underlying summarized mass spectrometry results, providing the user with the means to rapidly verify results. The PeakML/mzMatch software is freely available at http://mzmatch.sourceforge.net, with documentation, tutorials, and a community forum.

Mesh:

Year:  2011        PMID: 21401061     DOI: 10.1021/ac2000994

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


  140 in total

1.  Evaluation of normalization methods to pave the way towards large-scale LC-MS-based metabolomics profiling experiments.

Authors:  Bedilu Alamirie Ejigu; Dirk Valkenborg; Geert Baggerman; Manu Vanaerschot; Erwin Witters; Jean-Claude Dujardin; Tomasz Burzykowski; Maya Berg
Journal:  OMICS       Date:  2013-06-29

2.  Metabolomics Study of the Synergistic Killing of Polymyxin B in Combination with Amikacin against Polymyxin-Susceptible and -Resistant Pseudomonas aeruginosa.

Authors:  Maytham Hussein; Mei-Ling Han; Yan Zhu; Qi Zhou; Yu-Wei Lin; Robert E W Hancock; Daniel Hoyer; Darren J Creek; Jian Li; Tony Velkov
Journal:  Antimicrob Agents Chemother       Date:  2019-12-20       Impact factor: 5.191

3.  Target-Decoy-Based False Discovery Rate Estimation for Large-Scale Metabolite Identification.

Authors:  Xusheng Wang; Drew R Jones; Timothy I Shaw; Ji-Hoon Cho; Yuanyuan Wang; Haiyan Tan; Boer Xie; Suiping Zhou; Yuxin Li; Junmin Peng
Journal:  J Proteome Res       Date:  2018-05-29       Impact factor: 4.466

4.  Nephron Toxicity Profiling via Untargeted Metabolome Analysis Employing a High Performance Liquid Chromatography-Mass Spectrometry-based Experimental and Computational Pipeline.

Authors:  Christina Ranninger; Marc Rurik; Alice Limonciel; Silke Ruzek; Roland Reischl; Anja Wilmes; Paul Jennings; Philip Hewitt; Wolfgang Dekant; Oliver Kohlbacher; Christian G Huber
Journal:  J Biol Chem       Date:  2015-06-08       Impact factor: 5.157

5.  DeltaMS: a tool to track isotopologues in GC- and LC-MS data.

Authors:  Tim U H Baumeister; Nico Ueberschaar; Wolfgang Schmidt-Heck; J Frieder Mohr; Michael Deicke; Thomas Wichard; Reinhard Guthke; Georg Pohnert
Journal:  Metabolomics       Date:  2018-02-27       Impact factor: 4.290

6.  Metabolic profiling of dormant Mycolicibacterium smegmatis cells' reactivation reveals a gradual assembly of metabolic processes.

Authors:  Vadim D Nikitushkin; Sandra Trenkamp; Galina R Demina; Margarita O Shleeva; Arseny S Kaprelyants
Journal:  Metabolomics       Date:  2020-02-06       Impact factor: 4.290

7.  Metabolomics-Based Screening of the Malaria Box Reveals both Novel and Established Mechanisms of Action.

Authors:  Darren J Creek; Hwa H Chua; Simon A Cobbold; Brunda Nijagal; James I MacRae; Benjamin K Dickerman; Paul R Gilson; Stuart A Ralph; Malcolm J McConville
Journal:  Antimicrob Agents Chemother       Date:  2016-10-21       Impact factor: 5.191

8.  Peak Annotation and Verification Engine for Untargeted LC-MS Metabolomics.

Authors:  Lin Wang; Xi Xing; Li Chen; Lifeng Yang; Xiaoyang Su; Herschel Rabitz; Wenyun Lu; Joshua D Rabinowitz
Journal:  Anal Chem       Date:  2019-01-10       Impact factor: 6.986

9.  Data processing, multi-omic pathway mapping, and metabolite activity analysis using XCMS Online.

Authors:  Erica M Forsberg; Tao Huan; Duane Rinehart; H Paul Benton; Benedikt Warth; Brian Hilmers; Gary Siuzdak
Journal:  Nat Protoc       Date:  2018-03-01       Impact factor: 13.491

10.  A comparison of five lipid extraction solvent systems for lipidomic studies of human LDL.

Authors:  Ana Reis; Alisa Rudnitskaya; Gavin J Blackburn; Norsyahida Mohd Fauzi; Andrew R Pitt; Corinne M Spickett
Journal:  J Lipid Res       Date:  2013-05-13       Impact factor: 5.922

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