Skip to main content
SpringerLink
Log in
Book cover

Cancer Bioinformatics

  • Book
  • © 2019

Overview

Editors:
  1. Alexander Krasnitz

    1. Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • 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)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
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

Licence this eBook for your library

Institutional subscriptions

Table of contents (17 protocols)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  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. Building Portable and Reproducible Cancer Informatics Workflows: An RNA Sequencing Case Study

    • Gaurav Kaushik, Brandi Davis-Dusenbery
    Pages 39-64

  4. Computational Analysis of Structural Variation in Cancer Genomes

    • Matthew Hayes
    Pages 65-83

  5. CORE: A Software Tool for Delineating Regions of Recurrent DNA Copy Number Alteration in Cancer

    • Guoli Sun, Alexander Krasnitz
    Pages 85-93

  6. Identification of Mutated Cancer Driver Genes in Unpaired RNA-Seq Samples

    • David Mosen-Ansorena
    Pages 95-108

  7. A Computational Protocol for Detecting Somatic Mutations by Integrating DNA and RNA Sequencing

    • Matthew D. Wilkerson
    Pages 109-124

  8. Allele-Specific Expression Analysis in Cancer Using Next-Generation Sequencing Data

    • Alessandro Romanel
    Pages 125-137

  9. Computational Analysis of lncRNA Function in Cancer

    • Xu Zhang, Tsui-Ting Ho
    Pages 139-155

  10. Computational Methods for Identification of T Cell Neoepitopes in Tumors

    • Vanessa Isabell Jurtz, Lars Rønn Olsen
    Pages 157-172

  11. Computational and Statistical Analysis of Array-Based DNA Methylation Data

    • Jessica Nordlund, Christofer Bäcklin, Amanda Raine
    Pages 173-191

  12. Computational Methods for Subtyping of Tumors and Their Applications for Deciphering Tumor Heterogeneity

    • Shihua Zhang
    Pages 193-207

  13. Statistically Supported Identification of Tumor Subtypes

    • Guoli Sun, Alexander Krasnitz
    Pages 209-216

  14. Computational Methods for Analysis of Tumor Clonality and Evolutionary History

    • Gerald Goh, Nicholas McGranahan, Gareth A. Wilson
    Pages 217-226

  15. Predictive Modeling of Anti-Cancer Drug Sensitivity from Genetic Characterizations

    • Raziur Rahman, Ranadip Pal
    Pages 227-241

  16. In Silico Oncology Drug Repositioning and Polypharmacology

    • Feixiong Cheng
    Pages 243-261

  17. Modeling Growth of Tumors and Their Spreading Behavior Using Mathematical Functions

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

  18. Correction to: Computational Analysis of Structural Variation in Cancer Genomes

    • Matthew Hayes
    Pages C1-C1

  19. Back Matter

    Pages 279-280
    Download chapter PDF
Back to top

Keywords

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

Publish with us

Policies and ethics

Back to top

Search

Navigation