Bioinformatics Methods in Clinical Research

  • Rune Matthiesen

Part of the Methods in Molecular Biology book series (MIMB, volume 593)

Table of contents

  1. Front Matter
    Pages i-x
  2. Ewa Gubb, Rune Matthiesen
    Pages 1-23
  3. Iñaki Inza, Borja Calvo, Rubén Armañanzas, Endika Bengoetxea, Pedro Larrañaga, José A. Lozano
    Pages 25-48
  4. Ana M. Aransay, Rune Matthiesen, Manuela M. Regueiro
    Pages 49-65
  5. Robert B. Scharpf, Ingo Ruczinski
    Pages 67-79
  6. Itziar Frades, Rune Matthiesen
    Pages 81-107
  7. Usue Ariz, Jose Maria Mato, Shelly C. Lu, Maria L. Martínez Chantar
    Pages 109-136
  8. María dM. Vivanco
    Pages 137-156
  9. Elizabeth Guruceaga, Victor Segura, Fernando J. Corrales, Angel Rubio
    Pages 157-174
  10. Rune Matthiesen, António Amorim
    Pages 175-186
  11. Gorka Lasso, Rune Matthiesen
    Pages 231-262
  12. Hans Christian Beck
    Pages 263-282
  13. David S. Wishart
    Pages 283-313
  14. Martin Krallinger, Florian Leitner, Alfonso Valencia
    Pages 341-382
  15. Back Matter
    Pages 383-387

About this book


Integrated bioinformatics solutions have become increasingly valuable in past years, as technological advances have allowed researchers to consider the potential of omics for clinical diagnosis, prognosis, and therapeutic purposes, and as the costs of such techniques have begun to lessen.  In Bioinformatics Methods in Clinical Research, experts examine the latest developments impacting clinical omics, and describe in great detail the algorithms that are currently used in publicly available software tools. Chapters discuss statistics, algorithms, automated methods of data retrieval, and experimental consideration in genomics, transcriptomics, proteomics, and metabolomics. Composed in the highly successful Methods in Molecular Biology™ series format, each chapter contains a brief introduction, provides practical examples illustrating methods, results, and conclusions from data mining strategies wherever possible, and includes a Notes section which shares tips on troubleshooting and avoiding known pitfalls.

Informative and ground-breaking, Bioinformatics Methods in Clinical Research establishes a much-needed bridge between theory and practice, making it an indispensable resource for bioinformatics researchers.


Annotation Anästhesie-Informations-Management-System Automated data retrieval Bioinformatics algorithms Mascot Metabolomics Proteomics System biology Transcriptomics algorithms bioinformatics classification cluster analysis data mining databases

Editors and affiliations

  • Rune Matthiesen
    • 1
  1. 1.Inst. Patologia e Imunologia MolecularUniversidade do PortoPortoPortugal

Bibliographic information

  • DOI
  • Copyright Information Humana Press 2010
  • Publisher Name Humana Press
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-60327-193-6
  • Online ISBN 978-1-60327-194-3
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site