Systems Biology for Signaling Networks

  • Sangdun Choi

Part of the Systems Biology book series (SYSTBIOL)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Concepts

    1. Front Matter
      Pages 1-1
    2. Bernie J. Daigle Jr, Balaji S. Srinivasan, Jason A. Flannick, Antal F. Novak, Serafim Batzoglou
      Pages 13-73
    3. Rebecca A. Sealfon, Stuart C. Sealfon
      Pages 75-83
    4. Mikhail Dozmorov, Robert E. Hurst
      Pages 85-107
  3. Modeling and Reconstruction

    1. Front Matter
      Pages 109-109
    2. Eva Balsa-Canto, Julio R. Banga
      Pages 111-137
    3. Andreas Dräger, Adrian Schröder, Andreas Zell
      Pages 159-205
    4. Julio Vera, Svetoslav Nikolov, Olaf Wolkenhauer
      Pages 207-234
    5. Mutlu Mete, Fusheng Tang, Xiaowei Xu, Nurcan Yuruk
      Pages 253-273
    6. Sašo Džeroski, Ljupčo Todorovski
      Pages 275-294
    7. Tomáš Helikar, Naomi Kochi, John Konvalina, Jim A. Rogers
      Pages 295-336
    8. Daniel W. Franks, Graeme D. Ruxton
      Pages 337-351
    9. Tobias Müller, Marcus Dittrich
      Pages 353-369
    10. Josselin Noirel, Guido Sanguinetti, Phillip C. Wright
      Pages 371-397
    11. Xiaoyu Jiang, Eric D. Kolaczyk
      Pages 399-426
  4. Applications for Signaling Networks

    1. Front Matter
      Pages 427-427

About this book

Introduction

Systems biology is a new and exciting field that is an extension of many others including: Molecular Biology, Immunology, Genetics, Computational Biology, and Mathematical Biology. The goal is to understand the relationships from genes to organisms through networks in biological systems. The series Systems Biology examines an array of topics, in systems biology studies, ranging from molecular parts of cells to network modeling. The first volume in this series, Systems Biology of Signaling Networks, contains a collection of work in regulatory signaling networks and the use of large-scale omics data.

Keywords

Endoplasmatisches Reticulum Microarray data mining gene expression genes genetics genome molecular biology signal transduction transcription

Editors and affiliations

  • Sangdun Choi
    • 1
  1. 1.College of Natural Science, Dept. Biological ScienceDepartment of Molecular Science and TechSuwonKorea, Republic of (South Korea)

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-5797-9
  • Copyright Information Springer Science+Business Media, LLC 2010
  • Publisher Name Springer, New York, NY
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-1-4419-5796-2
  • Online ISBN 978-1-4419-5797-9
  • Series Print ISSN 2191-222X
  • Series Online ISSN 2191-2238
  • About this book