Literature DB >> 19957155

Computational approaches to metabolomics.

David S Wishart1.   

Abstract

This chapter is intended to familiarize readers with the field of metabolomics and some of the algorithms, data analysis strategies, and computer programs used to analyze or interpret metabolomic data. Specifically, this chapter provides a brief overview of the experimental approaches and applications of metabolomics followed by a description of the spectral and statistical analysis tools for metabolomics. The chapter concludes with a discussion of the resources that can be used to interpret and analyze metabolomic data at a biological or clinical level. Emerging needs, challenges, and recent progress being made in these areas are also discussed.

Mesh:

Year:  2010        PMID: 19957155     DOI: 10.1007/978-1-60327-194-3_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  23 in total

Review 1.  Xenobiotic metabolism: a view through the metabolometer.

Authors:  Andrew D Patterson; Frank J Gonzalez; Jeffrey R Idle
Journal:  Chem Res Toxicol       Date:  2010-05-17       Impact factor: 3.739

2.  State-of-the art data normalization methods improve NMR-based metabolomic analysis.

Authors:  Stefanie M Kohl; Matthias S Klein; Jochen Hochrein; Peter J Oefner; Rainer Spang; Wolfram Gronwald
Journal:  Metabolomics       Date:  2011-08-12       Impact factor: 4.290

Review 3.  Metabolomics and malaria biology.

Authors:  Viswanathan Lakshmanan; Kyu Y Rhee; Johanna P Daily
Journal:  Mol Biochem Parasitol       Date:  2010-10-21       Impact factor: 1.759

Review 4.  Guidelines for the design, analysis and interpretation of 'omics' data: focus on human endometrium.

Authors:  Signe Altmäe; Francisco J Esteban; Anneli Stavreus-Evers; Carlos Simón; Linda Giudice; Bruce A Lessey; Jose A Horcajadas; Nick S Macklon; Thomas D'Hooghe; Cristina Campoy; Bart C Fauser; Lois A Salamonsen; Andres Salumets
Journal:  Hum Reprod Update       Date:  2013-09-29       Impact factor: 15.610

Review 5.  Clinical metabolomics: the next stage of clinical biochemistry.

Authors:  Angelo D'Alessandro; Bruno Giardina; Federica Gevi; Anna Maria Timperio; Lello Zolla
Journal:  Blood Transfus       Date:  2012-05       Impact factor: 3.443

6.  Metabolomic prediction of endometrial cancer.

Authors:  Ray O Bahado-Singh; Amit Lugade; Jayson Field; Zaid Al-Wahab; BeomSoo Han; Rupasri Mandal; Trent C Bjorndahl; Onur Turkoglu; Stewart F Graham; David Wishart; Kunle Odunsi
Journal:  Metabolomics       Date:  2017-12-01       Impact factor: 4.290

7.  An Introduction to Programming for Bioscientists: A Python-Based Primer.

Authors:  Berk Ekmekci; Charles E McAnany; Cameron Mura
Journal:  PLoS Comput Biol       Date:  2016-06-07       Impact factor: 4.475

8.  Metabolomic identification of diagnostic serum-based biomarkers for advanced stage melanoma.

Authors:  A W L Bayci; D A Baker; A E Somerset; O Turkoglu; Z Hothem; R E Callahan; R Mandal; B Han; T Bjorndahl; D Wishart; R Bahado-Singh; S F Graham; R Keidan
Journal:  Metabolomics       Date:  2018-08-03       Impact factor: 4.290

Review 9.  Proteomics and metabolomics in renal transplantation-quo vadis?

Authors:  Rahul Bohra; Jacek Klepacki; Jelena Klawitter; Jost Klawitter; Joshua M Thurman; Uwe Christians
Journal:  Transpl Int       Date:  2012-11-21       Impact factor: 3.782

10.  Targeted metabolomics highlights perturbed metabolism in the brain of autism spectrum disorder sufferers.

Authors:  Stewart F Graham; Onur Turkoglu; Ali Yilmaz; Ilyas Ustun; Zafer Ugur; Trent Bjorndhal; BeomSoo Han; Rupa Mandal; David Wishart; Ray O Bahado-Singh
Journal:  Metabolomics       Date:  2020-04-24       Impact factor: 4.290

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