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Computational Cell Biology

Methods and Protocols

  • Louise von Stechow
  • Alberto Santos Delgado

Part of the Methods in Molecular Biology book series (MIMB, volume 1819)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Big Data- and Its Implications in Cell Biology

    1. Front Matter
      Pages 1-1
    2. Álvaro Bustos, Ignacio Fuenzalida, Rodrigo Santibáñez, Tomás Pérez-Acle, Alberto J. M. Martin
      Pages 3-32
    3. Natalia Pietrosemoli, Maria Pamela Dobay
      Pages 33-50
  3. Data-driven Analyses of High-throughput Datasets

    1. Front Matter
      Pages 51-51
    2. Luca Csabai, Márton Ölbei, Aidan Budd, Tamás Korcsmáros, Dávid Fazekas
      Pages 53-73
    3. Francesco Russo, Giulia Fiscon, Federica Conte, Milena Rizzo, Paola Paci, Marco Pellegrini
      Pages 75-92
    4. Anja C. Gumpinger, Damian Roqueiro, Dominik G. Grimm, Karsten M. Borgwardt
      Pages 93-136
  4. Network-Based Modeling of Cellular Phenotypes

  5. Mathematical Modeling of Cellular Phenotypes

    1. Front Matter
      Pages 269-269
    2. Simone Rizzetto, Attila Csikász-Nagy
      Pages 271-295
    3. Rosa Hernansaiz-Ballesteros, Kirsten Jenkins, Attila Csikász-Nagy
      Pages 297-316
    4. David G. Hendrickson, Ilya Soifer, Bernd J. Wranik, David Botstein, R. Scott McIsaac
      Pages 317-333
    5. C. Hardt, C. Bauer, J. Schuchhardt, R. Herwig
      Pages 335-355
    6. Jose Davila-Velderrain, Jose Luis Caldu-Primo, Juan Carlos Martinez-Garcia, Elena R. Alvarez-Buylla
      Pages 357-383
  6. Computational Analyses of Heterogenous Cell Populations

    1. Front Matter
      Pages 403-403
    2. Margaritis Voliotis, Kathryn L. Garner, Hussah Alobaid, Krasimira Tsaneva-Atanasova, Craig A. McArdle
      Pages 405-429
  7. Back Matter
    Pages 431-436

About this book

Introduction

This volume details computational techniques for analyses of a wide range of biological contexts, providing an overview of the most up-to-date techniques used in the field. Chapters guide the reader through available data resources and analysis methods and easy-to-follow protocols that allow the researcher to apply various computational tools to an array of different data types. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory and computational protocols, and tips on troubleshooting and avoiding known pitfalls.

 

Authoritative and cutting-edge, Computational Cell Biology: Method and Protocols aims to ensure successful results in the further study of this vital field.

Keywords

high-throughput PLS regression datasets gene-set enrichment network inference

Editors and affiliations

  • Louise von Stechow
    • 1
  • Alberto Santos Delgado
    • 2
  1. 1.NNF Center for Protein ResearchUniversity of CopenhagenCopenhagenDenmark
  2. 2.Novo Nordisk Foundation Center for Protein ResearchUniversity of CopenhagenCopenhagenDenmark

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-8618-7
  • Copyright Information Springer Science+Business Media, LLC, part of Springer Nature 2018
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-8617-0
  • Online ISBN 978-1-4939-8618-7
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site
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