Titlebook: Cancer Bioinformatics; Alexander Krasnitz Book 2019 Springer Science+Business Media, LLC, part of Springer Nature 2019 cancer informatics.

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Identification of Mutated Cancer Driver Genes in Unpaired RNA-Seq Samples,nvolves thorough data cleaning and extensive annotation, which enable the selection for somatic mutations with functional impact and the prioritization of genes relevant to the carcinogenic processes in the input samples.

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A Computational Protocol for Detecting Somatic Mutations by Integrating DNA and RNA Sequencing, sequencing. The computational protocol described here enables an investigator to detect somatic mutations through integrating DNA and RNA sequencing from patient-matched tumor DNA, tumor RNA, and germline specimens via the open source software,

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Computational Analysis of lncRNA Function in Cancer,ghts following the study of the mechanisms underlying the differential expression of these lncRNAs in association with and possibly contributing to cancer recurrence. Ultimately, the expanding knowledge of the function of lncRNAs curated by computational analysis will suggest new targets for cancer treatment.

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Computational and Statistical Analysis of Array-Based DNA Methylation Data,d describe the computational steps and statistical considerations going from processing of the raw array data to analysis of differential methylation. Moreover, we provide detailed guidelines on how to perform tumor subtype classification based on DNA methylation signatures.

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Building Portable and Reproducible Cancer Informatics Workflows: An RNA Sequencing Case Study,gm of co-locating massive datasets with the computational resources to analyze them. The CGC was designed to allow researchers to easily find the data they need and analyze it with robust applications in a scalable and reproducible fashion. To enable this, individual tools are packaged within Docker

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