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 proceedingChapterScientificpeer-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: Analyzing High-Dimensional Data
    PublisherWiley-VCH
    Pages27-40
    Number of pages14
    Volume3
    ISBN (Print)9783527332625
    DOIs
    Publication statusPublished - 8 Apr 2013
    Publication typeA3 Book chapter

    Keywords

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

    ASJC Scopus subject areas

    • General Biochemistry,Genetics and Molecular Biology

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