Overview of Public Cancer Databases, Resources, and Visualization Tools

Frank Emmert-Streib, Ricardo De Matos Simoes, Shailesh Tripathi, Matthias Dehmer

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

In this chapter, we provide a general overview of incidence and mortality rates of the most severe cancer types. Further, we provide information about public databases containing valuable resources, for example, expression data or SNP arrays. Due to the complex nature of cancer, we do not limit ourselves to just one cancer type but provide information about a large variety of different cancer types. As motivation for this, we briefly review the Human Disease Network [1,2] focusing on a subnetwork thereof showing a network consisting of different cancer types. Finally, we advocate the usage of the statistical programming language R as a flexible and efficient means to integrate the multilevel sources from different databases with each other.

Original languageEnglish
Title of host publicationStatistical Diagnostics for Cancer
Subtitle of host publicationAnalyzing High-Dimensional Data
PublisherWiley-VCH Verlag
Pages27-40
Number of pages14
Volume3
ISBN (Print)9783527332625
DOIs
Publication statusPublished - 8 Apr 2013
Externally publishedYes

Keywords

  • Genetic cancer network
  • Human disease network
  • Lung cancer
  • Methylation
  • Next-generation sequencing (NGS)
  • Protein-protein interactions

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