Wei Wu & Hani Choudhry 
Next Generation Sequencing in Cancer Research [PDF ebook] 
Volume 1: Decoding the Cancer Genome

Introduction: next generation sequencing technology and cancer research.- The majority of total nuclear-encoded non-ribosomal RNA in a human cell is ‘dark matter’ unannotated RNA.- Total RNA-seq of breast cancer in hypoxia.- Altered antisense-to-sense transcript ratios in breast cancer.- Identification of pi RNAs in Hela cells by massive parallel sequencing.- Discovery of new micro RNAs by small RNAome deep sequencing in childhood acute lymphoblastic leukemia.- Whole-Exome Sequencing Identifies FAM20A Mutations as a Cause of Amelogenesis Imperfecta and Gingival Hyperplasia Syndrome.- Whole-exome sequencing in CIC and IDH1/2 contributing to human oligodendroglioma.- Genetic and structural variation in the gastric cancer kinome revealed through targeted deep sequencing.- Tumour evolution inferred by single-cell sequencing.- Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq.- Tracing the derivation of embryonic stem cells from the inner cell mass by single-cell RNASeq analysis.- Whole genome DNA methylation analysis based on high throughput sequencing technology.- Comparative methylome analysis of benign and malignant peripheral nerve sheath tumors.- High-resolution genome-wide mapping of HIF-binding sites by Ch IP-seq.- Micro RNA transfection and AGO-bound CLIP-seq data sets reveal distinct determinants of mi RNA action.- Genome-wide identification of polycomb-associated RNAs by RIP-seq.- Single-molecule sequencing: sequence methods to enable accurate quantisation.- Metabolic labeling of RNA uncovers principles of RNA production and degradation dynamics in mammalian cells.- Reprogramming transcription by distinct classes of enhancers functionally defined by e RNA.- The genome information process for cancer research: the challenge and perspective.- Index.