Next Generation Sequencing in Cancer Research : Volume 1: Decoding the Cancer Genome /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
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| Edición: | 1st ed. 2013. |
| Materias: |
Tabla de Contenidos:
- 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 piRNAs in Hela cells by massive parallel sequencing
- Discovery of new microRNAs 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 ChIP-seq
- MicroRNA transfection and AGO-bound CLIP-seq data sets reveal distinct determinants of miRNA 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 eRNA
- The genome information process for cancer research: the challenge and perspective
- Index.