Correlation-based network analysis of cancer metabolism

A new systems biology approach in metabolomics

  • Emily G. Armitage
  • Helen L. Kotze
  • Kaye J. Williams

Part of the SpringerBriefs in Systems Biology book series (BRIEFSBIOSYS)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Emily G. Armitage, Helen L. Kotze, Kaye J. Williams
    Pages 1-6
  3. Emily G. Armitage, Helen L. Kotze, Kaye J. Williams
    Pages 7-14
  4. Emily G. Armitage, Helen L. Kotze, Kaye J. Williams
    Pages 15-20
  5. Emily G. Armitage, Helen L. Kotze, Kaye J. Williams
    Pages 21-34
  6. Emily G. Armitage, Helen L. Kotze, Kaye J. Williams
    Pages 35-48
  7. Emily G. Armitage, Helen L. Kotze, Kaye J. Williams
    Pages 49-61

About this book

Introduction

With the rise of systems biology as an approach in biochemistry research, using high throughput techniques such as mass spectrometry to generate metabolic profiles of cancer metabolism is becoming increasingly popular. There are examples of cancer metabolic profiling studies in the academic literature; however they are often only in journals specific to the metabolomics community. This book will be particularly useful for post-graduate students and post-doctoral researchers using this pioneering technique of network-based correlation analysis. The approach can be adapted to the analysis of any large scale metabolic profiling experiment to answer a range of biological questions in a range of species or for a range of diseases.

Keywords

analysis correlation metabolomics network

Authors and affiliations

  • Emily G. Armitage
    • 1
  • Helen L. Kotze
    • 2
  • Kaye J. Williams
    • 3
  1. 1.Centre for Metabolomics and BioanalysisUniversidad San Pablo CEUBoadilla del MonteSpain
  2. 2.University of Manchester Manchester Institute of BiotechnologyManchesterUnited Kingdom
  3. 3.University of Manchester, Manchester Pharmacy School, Manchester Cancer Research CentreManchesterUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-0615-4
  • Copyright Information The Authors 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-1-4939-0614-7
  • Online ISBN 978-1-4939-0615-4
  • Series Print ISSN 2193-4746
  • Series Online ISSN 2193-4754
  • About this book
Industry Sectors
Biotechnology
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Pharma