Cancer Bioinformatics

<p>An Access Primer to Repositories of Cancer-related Genomic Big Data.- Building Portable and Reproducible Cancer Informatics Workflows: An RNA Sequencing Case Study.- Computational Analysis of Structural Variation in Cancer Genomes.- CORE: A Software Tool for Delineating Regions of Recurrent DNA Copy Number Alteration in Cancer.- Identification of Mutated Cancer Driver Genes on Unpaired RNA-Seq Samples.- A Computational Protocol for Detecting Somatic Mutations by Integrating DNA and RNA Sequencing.- Allele-specific Expression Analysis in Cancer Using Next Generation Sequencing Data.- Computational Analysis of lncRNA Function in Cancer.- Computational Methods for Identification of T Cell Neoepitopes in Tumors.- Computational and Statistical Analysis of Array-based DNA Methylation Data.- Computational Methods for Subtyping Of Tumors and their Applications for Deciphering Tumor Heterogeneity.- Statistically Supported Identification of Tumor Subtypes.- Computational Methods for Analysisof Tumor Clonality and Evolutionary History.- Predictive Modeling of Anti-cancer Drug Sensitivity from Genetic Characterizations.- In silico Oncology Drug Repositioning and Polypharmacology.- Modelling Growth of Tumours and their Spreading Behaviour using Mathematical Functions. </p>