Literature DB >> 21414990

AStream: an R package for annotating LC/MS metabolomic data.

Arnald Alonso1, Antonio Julià, Antoni Beltran, Maria Vinaixa, Marta Díaz, Lourdes Ibañez, Xavier Correig, Sara Marsal.   

Abstract

UNLABELLED: AStream, an R-statistical software package for the curation and identification of feature peaks extracted from liquid chromatography mass spectrometry (LC/MS) metabolomics data, is described. AStream detects isotopic, fragment and adduct patterns by identifying feature pairs that fulfill expected relational patterns. Data reduction by AStream allows compounds to be identified reliably and subsequently linked to metabolite databases. AStream provides researchers with a fast, reliable tool for summarizing metabolomic data, notably reducing curation time and increasing consistency of results. AVAILABILITY: The AStream R package and a study example can be freely accessed at http://www.urr.cat/AStream/AStream.html.

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Year:  2011        PMID: 21414990     DOI: 10.1093/bioinformatics/btr138

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


  28 in total

1.  xMSannotator: An R Package for Network-Based Annotation of High-Resolution Metabolomics Data.

Authors:  Karan Uppal; Douglas I Walker; Dean P Jones
Journal:  Anal Chem       Date:  2017-01-04       Impact factor: 6.986

Review 2.  Chemical Discovery in the Era of Metabolomics.

Authors:  Miriam Sindelar; Gary J Patti
Journal:  J Am Chem Soc       Date:  2020-05-11       Impact factor: 15.419

3.  CAMERA: an integrated strategy for compound spectra extraction and annotation of liquid chromatography/mass spectrometry data sets.

Authors:  Carsten Kuhl; Ralf Tautenhahn; Christoph Böttcher; Tony R Larson; Steffen Neumann
Journal:  Anal Chem       Date:  2011-12-12       Impact factor: 6.986

4.  Deep annotation of untargeted LC-MS metabolomics data with Binner.

Authors:  Maureen Kachman; Hani Habra; William Duren; Janis Wigginton; Peter Sajjakulnukit; George Michailidis; Charles Burant; Alla Karnovsky
Journal:  Bioinformatics       Date:  2020-03-01       Impact factor: 6.937

Review 5.  Annotation: A Computational Solution for Streamlining Metabolomics Analysis.

Authors:  Xavier Domingo-Almenara; J Rafael Montenegro-Burke; H Paul Benton; Gary Siuzdak
Journal:  Anal Chem       Date:  2017-11-03       Impact factor: 6.986

6.  Improved Annotation of Untargeted Metabolomics Data through Buffer Modifications That Shift Adduct Mass and Intensity.

Authors:  Wenyun Lu; Xi Xing; Lin Wang; Li Chen; Sisi Zhang; Melanie R McReynolds; Joshua D Rabinowitz
Journal:  Anal Chem       Date:  2020-08-12       Impact factor: 6.986

Review 7.  Computational Metabolomics: A Framework for the Million Metabolome.

Authors:  Karan Uppal; Douglas I Walker; Ken Liu; Shuzhao Li; Young-Mi Go; Dean P Jones
Journal:  Chem Res Toxicol       Date:  2016-10-12       Impact factor: 3.739

8.  New Strategies and Challenges in Lung Proteomics and Metabolomics. An Official American Thoracic Society Workshop Report.

Authors:  Russell P Bowler; Chris H Wendt; Michael B Fessler; Matthew W Foster; Rachel S Kelly; Jessica Lasky-Su; Angela J Rogers; Kathleen A Stringer; Brent W Winston
Journal:  Ann Am Thorac Soc       Date:  2017-12

9.  Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data.

Authors:  Sumanta Basu; William Duren; Charles R Evans; Charles F Burant; George Michailidis; Alla Karnovsky
Journal:  Bioinformatics       Date:  2017-05-15       Impact factor: 6.937

10.  Computational mass spectrometry for small molecules.

Authors:  Kerstin Scheubert; Franziska Hufsky; Sebastian Böcker
Journal:  J Cheminform       Date:  2013-03-01       Impact factor: 5.514

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