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  • © 2019

Cancer Bioinformatics

  • Includes cutting-edge methods and protocols
  • Provides step-by-step detail essential for reproducible results
  • Contain key notes and implementation advice from the experts

Part of the book series: Methods in Molecular Biology (MIMB, volume 1878)

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Table of contents (17 protocols)

  1. Front Matter

    Pages i-x
  2. A Primer for Access to Repositories of Cancer-Related Genomic Big Data

    • John Torcivia-Rodriguez, Hayley Dingerdissen, Ting-Chia Chang, Raja Mazumder
    Pages 1-37
  3. Computational Analysis of lncRNA Function in Cancer

    • Xu Zhang, Tsui-Ting Ho
    Pages 139-155
  4. Computational Methods for Identification of T Cell Neoepitopes in Tumors

    • Vanessa Isabell Jurtz, Lars Rønn Olsen
    Pages 157-172
  5. Computational and Statistical Analysis of Array-Based DNA Methylation Data

    • Jessica Nordlund, Christofer Bäcklin, Amanda Raine
    Pages 173-191
  6. Statistically Supported Identification of Tumor Subtypes

    • Guoli Sun, Alexander Krasnitz
    Pages 209-216
  7. Computational Methods for Analysis of Tumor Clonality and Evolutionary History

    • Gerald Goh, Nicholas McGranahan, Gareth A. Wilson
    Pages 217-226
  8. Modeling Growth of Tumors and Their Spreading Behavior Using Mathematical Functions

    • Bertin Hoffmann, Thorsten Frenzel, Rüdiger Schmitz, Udo Schumacher, Gero Wedemann
    Pages 263-277
  9. Back Matter

    Pages 279-280

About this book

This volume covers a wide variety of state of the art cancer-related methods and tools for data analysis and interpretation. Chapters were designed to attract a broad readership, ranging from active researchers in computational biology and bioinformatics developers, clinical oncologists, and anti-cancer drug developers wishing to rationalize their search for new compounds. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, installation instructions for computational tools discussed, explanations of the input and output formats, and illustrative examples of applications.

Authoritative and cutting-edge, Cancer Bioinformatics: Methods and Protocols aims to support researchers performing computational analysis of cancer-related data.


Editors and Affiliations

  • Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, USA

    Alexander Krasnitz

Bibliographic Information

  • Book Title: Cancer Bioinformatics

  • Editors: Alexander Krasnitz

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-4939-8868-6

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2019

  • Hardcover ISBN: 978-1-4939-8866-2Published: 31 October 2018

  • Softcover ISBN: 978-1-4939-9404-5Published: 10 December 2019

  • eBook ISBN: 978-1-4939-8868-6Published: 30 October 2018

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: X, 280

  • Number of Illustrations: 25 b/w illustrations, 64 illustrations in colour

  • Topics: Cancer Research

Buy it now

Buying options

eBook USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access