Literature DB >> 16772266

Metabolomics technology and bioinformatics.

Vladimir Shulaev1.   

Abstract

Metabolomics is the global analysis of all or a large number of cellular metabolites. Like other functional genomics research, metabolomics generates large amounts of data. Handling, processing and analysis of this data is a clear challenge and requires specialized mathematical, statistical and bioinformatics tools. Metabolomics needs for bioinformatics span through data and information management, raw analytical data processing, metabolomics standards and ontology, statistical analysis and data mining, data integration and mathematical modelling of metabolic networks within a framework of systems biology. The major approaches in metabolomics, along with the modern analytical tools used for data generation, are reviewed in the context of these specific bioinformatics needs.

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Year:  2006        PMID: 16772266     DOI: 10.1093/bib/bbl012

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  74 in total

Review 1.  Database resources in metabolomics: an overview.

Authors:  Eden P Go
Journal:  J Neuroimmune Pharmacol       Date:  2009-05-07       Impact factor: 4.147

2.  The future of liquid chromatography-mass spectrometry (LC-MS) in metabolic profiling and metabolomic studies for biomarker discovery.

Authors:  Thomas O Metz; Qibin Zhang; Jason S Page; Yufeng Shen; Stephen J Callister; Jon M Jacobs; Richard D Smith
Journal:  Biomark Med       Date:  2007-06       Impact factor: 2.851

Review 3.  [Metabolome analysis of solid tumors].

Authors:  J Budczies
Journal:  Pathologe       Date:  2016-11       Impact factor: 1.011

4.  Highly-parallel metabolomics approaches using LC-MS for pharmaceutical and environmental analysis.

Authors:  Sunil Bajad; Vladimir Shulaev
Journal:  Trends Analyt Chem       Date:  2007-06-01       Impact factor: 12.296

5.  Metabolomics technology and bioinformatics for precision medicine.

Authors:  Rajeev K Azad; Vladimir Shulaev
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

6.  Sulfur amino acid-free diet results in increased glutamate in human midbrain: a pilot magnetic resonance spectroscopic study.

Authors:  Youngja Park; Tiejun Zhao; Nana Gletsu Miller; Seoung Bum Kim; Carolyn Jonas Accardi; Thomas R Ziegler; Xiaoping Hu; Dean P Jones
Journal:  Nutrition       Date:  2011-09-14       Impact factor: 4.008

Review 7.  Bioinformatics and systems biology of the lipidome.

Authors:  Shankar Subramaniam; Eoin Fahy; Shakti Gupta; Manish Sud; Robert W Byrnes; Dawn Cotter; Ashok Reddy Dinasarapu; Mano Ram Maurya
Journal:  Chem Rev       Date:  2011-09-23       Impact factor: 60.622

Review 8.  Integrating omics technologies to study pulmonary physiology and pathology at the systems level.

Authors:  Ravi Ramesh Pathak; Vrushank Davé
Journal:  Cell Physiol Biochem       Date:  2014-04-28

Review 9.  Clinical applications of metabolomics in oncology: a review.

Authors:  Jennifer L Spratlin; Natalie J Serkova; S Gail Eckhardt
Journal:  Clin Cancer Res       Date:  2009-01-15       Impact factor: 12.531

10.  An editor for pathway drawing and data visualization in the Biopathways Workbench.

Authors:  Robert W Byrnes; Dawn Cotter; Andreia Maer; Joshua Li; David Nadeau; Shankar Subramaniam
Journal:  BMC Syst Biol       Date:  2009-10-02
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