Cancer Bioinformatics [Hardcover]

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.

1. An Access Primer to Repositories of Cancer-related Genomic Big Data

John Torcivia-Rodriguez, Hayley Dingerdissen, Ting-Chia Chang, and Raja Mazumder

 

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

Gaurav Kaushik and Brandi Davis-Dusenbery

 

3. Computational Analysis of Structural Variation in Cancer Genomes

 

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

Guoli Sun and Alexander Krasnitz

 

5. Identification of Mutated Cancer Driver Genes on Unpaired RNA-Seq Samples

David Mosen-Ansorena

 

6. A Computational Protocol for Detecting Somatic Mutations by Integrating DNA and RNA Sequencing&ll£–