Literature DB >> 19301908

MetAlign: interface-driven, versatile metabolomics tool for hyphenated full-scan mass spectrometry data preprocessing.

Arjen Lommen1.   

Abstract

Hyphenated full-scan MS technology creates large amounts of data. A versatile easy to handle automation tool aiding in the data analysis is very important in handling such a data stream. MetAlign softwareas described in this manuscripthandles a broad range of accurate mass and nominal mass GC/MS and LC/MS data. It is capable of automatic format conversions, accurate mass calculations, baseline corrections, peak-picking, saturation and mass-peak artifact filtering, as well as alignment of up to 1000 data sets. A 100 to 1000-fold data reduction is achieved. MetAlign software output is compatible with most multivariate statistics programs.

Mesh:

Year:  2009        PMID: 19301908     DOI: 10.1021/ac900036d

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


  189 in total

1.  msCompare: a framework for quantitative analysis of label-free LC-MS data for comparative candidate biomarker studies.

Authors:  Berend Hoekman; Rainer Breitling; Frank Suits; Rainer Bischoff; Peter Horvatovich
Journal:  Mol Cell Proteomics       Date:  2012-02-07       Impact factor: 5.911

2.  XCMS Online: a web-based platform to process untargeted metabolomic data.

Authors:  Ralf Tautenhahn; Gary J Patti; Duane Rinehart; Gary Siuzdak
Journal:  Anal Chem       Date:  2012-05-10       Impact factor: 6.986

3.  Global urinary metabolic profiling procedures using gas chromatography-mass spectrometry.

Authors:  Eric Chun Yong Chan; Kishore Kumar Pasikanti; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2011-09-08       Impact factor: 13.491

Review 4.  Characterizing proteins of unknown function: orphan cytochrome p450 enzymes as a paradigm.

Authors:  F Peter Guengerich; Zhongmei Tang; S Giovanna Salamanca-Pinzón; Qian Cheng
Journal:  Mol Interv       Date:  2010-06

5.  PyMS: a Python toolkit for processing of gas chromatography-mass spectrometry (GC-MS) data. Application and comparative study of selected tools.

Authors:  Sean O'Callaghan; David P De Souza; Andrew Isaac; Qiao Wang; Luke Hodkinson; Moshe Olshansky; Tim Erwin; Bill Appelbe; Dedreia L Tull; Ute Roessner; Antony Bacic; Malcolm J McConville; Vladimir A Likić
Journal:  BMC Bioinformatics       Date:  2012-05-30       Impact factor: 3.169

6.  Determining conserved metabolic biomarkers from a million database queries.

Authors:  Michael E Kurczy; Julijana Ivanisevic; Caroline H Johnson; Winnie Uritboonthai; Linh Hoang; Mingliang Fang; Matthew Hicks; Anthony Aldebot; Duane Rinehart; Lisa J Mellander; Ralf Tautenhahn; Gary J Patti; Mary E Spilker; H Paul Benton; Gary Siuzdak
Journal:  Bioinformatics       Date:  2015-08-13       Impact factor: 6.937

7.  Identification of genes in the phenylalanine metabolic pathway by ectopic expression of a MYB transcription factor in tomato fruit.

Authors:  Valeriano Dal Cin; Denise M Tieman; Takayuki Tohge; Ryan McQuinn; Ric C H de Vos; Sonia Osorio; Eric A Schmelz; Mark G Taylor; Miriam T Smits-Kroon; Robert C Schuurink; Michel A Haring; James Giovannoni; Alisdair R Fernie; Harry J Klee
Journal:  Plant Cell       Date:  2011-07-12       Impact factor: 11.277

8.  Web-based inference of biological patterns, functions and pathways from metabolomic data using MetaboAnalyst.

Authors:  Jianguo Xia; David S Wishart
Journal:  Nat Protoc       Date:  2011-05-05       Impact factor: 13.491

9.  Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry.

Authors:  Warwick B Dunn; David Broadhurst; Paul Begley; Eva Zelena; Sue Francis-McIntyre; Nadine Anderson; Marie Brown; Joshau D Knowles; Antony Halsall; John N Haselden; Andrew W Nicholls; Ian D Wilson; Douglas B Kell; Royston Goodacre
Journal:  Nat Protoc       Date:  2011-06-30       Impact factor: 13.491

Review 10.  After the feature presentation: technologies bridging untargeted metabolomics and biology.

Authors:  Kevin Cho; Nathaniel G Mahieu; Stephen L Johnson; Gary J Patti
Journal:  Curr Opin Biotechnol       Date:  2014-05-06       Impact factor: 9.740

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