Literature DB >> 21697128

Metab: an R package for high-throughput analysis of metabolomics data generated by GC-MS.

Raphael Aggio1, Silas Granato Villas-Bôas, Katya Ruggiero.   

Abstract

MOTIVATION: The Automated Mass Spectral Deconvolution and Identification System (AMDIS) is freeware extensively applied in metabolomics. However, datasets processed by AMDIS require extensive data correction, filtering and reshaping to create reliable datasets for further downstream analysis. Performed manually, these processes are laborious and extremely time consuming. Furthermore, manual corrections increase the chance of human error and can introduce additional technical variability to the data. Thus, an automated pipeline for curating GC-MS data is urgently needed.
RESULTS: We present the Metab R package designed to automate the pipeline for analysis of metabolomics GC-MS datasets processed by AMDIS. AVAILABILITY: The Metab package, the AMDIS library and the reference ion library are available at www.metabolomics.auckland.ac.nz/index.php/downloads. CONTACT: k.ruggiero@auckland.ac.nz.

Entities:  

Mesh:

Year:  2011        PMID: 21697128     DOI: 10.1093/bioinformatics/btr379

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


  40 in total

1.  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

2.  Transcriptional and metabolomic consequences of LuxS inactivation reveal a metabolic rather than quorum-sensing role for LuxS in Lactobacillus reuteri 100-23.

Authors:  Charlotte M Wilson; Raphael B M Aggio; Paul W O'Toole; Silas Villas-Boas; Gerald W Tannock
Journal:  J Bacteriol       Date:  2012-01-27       Impact factor: 3.490

3.  Targeted metabolomics to investigate antimicrobial activity of itaconic acid in marine molluscs.

Authors:  Thao Van Nguyen; Andrea C Alfaro
Journal:  Metabolomics       Date:  2019-06-22       Impact factor: 4.290

4.  Global metabolic response of Enterococcus faecalis to oxygen.

Authors:  Carla A F Portela; Kathleen F Smart; Sergey Tumanov; Gregory M Cook; Silas G Villas-Bôas
Journal:  J Bacteriol       Date:  2014-03-21       Impact factor: 3.490

5.  Benefit of the Use of GCxGC/MS Profiles for 1D GC/MS Data Treatment Illustrated by the Analysis of Pyrolysis Products from East Asian Handmade Papers.

Authors:  Bin Han; Silvia Lob; Michel Sablier
Journal:  J Am Soc Mass Spectrom       Date:  2018-06-07       Impact factor: 3.109

Review 6.  Emerging applications of metabolomics in drug discovery and precision medicine.

Authors:  David S Wishart
Journal:  Nat Rev Drug Discov       Date:  2016-03-11       Impact factor: 84.694

7.  The use of a gas chromatography-sensor system combined with advanced statistical methods, towards the diagnosis of urological malignancies.

Authors:  Raphael B M Aggio; Ben de Lacy Costello; Paul White; Tanzeela Khalid; Norman M Ratcliffe; Raj Persad; Chris S J Probert
Journal:  J Breath Res       Date:  2016-02-11       Impact factor: 3.262

8.  Beyond relaxed: magnesium chloride anaesthesia alters the circulatory metabolome of a marine mollusc (Perna canaliculus).

Authors:  Awanis Azizan; Andrea C Alfaro; Tim Young; Leonie Venter
Journal:  Metabolomics       Date:  2021-08-14       Impact factor: 4.290

9.  The importance of GC-MS date processing and analysis strategies suitable for plant and environmental metabolomics : with references to Changes in the abundance of sugars and sugar-like compounds in tall fescue (Festuca arundinacea) due to growth in naphthalene-treated sand.

Authors:  Kai P Law; Ting-Li Han
Journal:  Environ Sci Pollut Res Int       Date:  2016-04-06       Impact factor: 4.223

10.  Photoreceptor effects on plant biomass, resource allocation, and metabolic state.

Authors:  Deyue Yang; Daniel D Seaton; Johanna Krahmer; Karen J Halliday
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-21       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.