Literature DB >> 22533540

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

Ralf Tautenhahn1, Gary J Patti, Duane Rinehart, Gary Siuzdak.   

Abstract

Recently, interest in untargeted metabolomics has become prevalent in the general scientific community among an increasing number of investigators. The majority of these investigators, however, do not have the bioinformatic expertise that has been required to process metabolomic data by using command-line driven software programs. Here we introduce a novel platform to process untargeted metabolomic data that uses an intuitive graphical interface and does not require installation or technical expertise. This platform, called XCMS Online, is a web-based version of the widely used XCMS software that allows users to easily upload and process liquid chromatography/mass spectrometry data with only a few mouse clicks. XCMS Online provides a solution for the complete untargeted metabolomic workflow including feature detection, retention time correction, alignment, annotation, statistical analysis, and data visualization. Results can be browsed online in an interactive, customizable table showing statistics, chromatograms, and putative METLIN identities for each metabolite. Additionally, all results and images can be downloaded as zip files for offline analysis and publication. XCMS Online is available at https://xcmsonline.scripps.edu.

Entities:  

Mesh:

Year:  2012        PMID: 22533540      PMCID: PMC3703953          DOI: 10.1021/ac300698c

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


  22 in total

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2.  XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

Authors:  Colin A Smith; Elizabeth J Want; Grace O'Maille; Ruben Abagyan; Gary Siuzdak
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5.  Metabolomics implicates altered sphingolipids in chronic pain of neuropathic origin.

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8.  A comprehensive urinary metabolomic approach for identifying kidney cancerr.

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  366 in total

1.  Warpgroup: increased precision of metabolomic data processing by consensus integration bound analysis.

Authors:  Nathaniel G Mahieu; Jonathan L Spalding; Gary J Patti
Journal:  Bioinformatics       Date:  2015-09-30       Impact factor: 6.937

2.  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

3.  Comparative metabolic profiling of mce1 operon mutant vs wild-type Mycobacterium tuberculosis strains.

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Journal:  Pathog Dis       Date:  2015-08-28       Impact factor: 3.166

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Authors:  Nicholas C Harris; Michio Sato; Nicolaus A Herman; Frederick Twigg; Wenlong Cai; Joyce Liu; Xuejun Zhu; Jordan Downey; Ryan Khalaf; Joelle Martin; Hiroyuki Koshino; Wenjun Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-20       Impact factor: 11.205

5.  Untargeted metabolomics from biological sources using ultraperformance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS).

Authors:  Nathaniel W Snyder; Maya Khezam; Clementina A Mesaros; Andrew Worth; Ian A Blair
Journal:  J Vis Exp       Date:  2013-05-20       Impact factor: 1.355

6.  Metabolomic "Dark Matter" Dependent on Peroxisomal β-Oxidation in Caenorhabditis elegans.

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Journal:  J Am Chem Soc       Date:  2018-02-16       Impact factor: 15.419

Review 7.  Applications of metabolomics to study cancer metabolism.

Authors:  Akash K Kaushik; Ralph J DeBerardinis
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2018-04-25       Impact factor: 10.680

8.  Metabolomics activity screening for identifying metabolites that modulate phenotype.

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Journal:  Nat Biotechnol       Date:  2018-04-05       Impact factor: 54.908

Review 9.  After the feature presentation: technologies bridging untargeted metabolomics and biology.

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10.  Menthol Smokers: Metabolomic Profiling and Smoking Behavior.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-09-14       Impact factor: 4.254

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