Next Generation Sequencing in Cancer Research : Volume 1: Decoding the Cancer Genome / edited by Wei Wu, Hani Choudhry.

Format:

Book

Contributor:

Wu, Wei, Dr., editor.

Choudhry, Hani, editor.

SpringerLink (Online service)

Series:

Biomedical and Life Sciences (Springer-11642)

Language:

English

Subjects (All):

Cancer--Research.

Cancer.

Bioinformatics.

Human genetics.

Medicine.

Cancer Research.

Human Genetics.

Biomedicine, general.

Local Subjects:

Cancer Research.

Bioinformatics.

Human Genetics.

Biomedicine, general.

Physical Description:

1 online resource (XII, 383 pages)

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

New York, NY : Springer New York : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

Next Generation Sequencing (NGS) technology has placed important milestones in the life science and changed the direction in biomedical science inclucing cancer. Scientists around the world are attempting to find the root cause of cancer and they are looking for more direct and effective means to cure cancer. This journey to conquer cancer is more optimistic now with the unfolding of the cancer genome. This book focuses on the application of various NGS in the frontier cancer genome research. The 18 chapters in this volume have been written by scientists with many outstanding contributions in their area and the join effort has created comprehensive insightful view on (1) Overview of next generation sequencing technology in cancer genome research (2) Genome regulation and targeted sequencing in cancer (3) RNA transcriptome (coding and non-coding) in cancer genome (4)The challenges of computational biology for cancer genome study. This book is a state-of-the-art reference to all scientific researchers and onologists who are interested in the understanding of the cancer initiatome at whole genome scale and to those are keen to translate the 'base pairs to bedside' for better management of cancer patients in the era of personalized medicine.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-1-4614-7645-0

9781461476450

Access Restriction:

Restricted for use by site license.