This volume provides an interdisciplinary perspective of applying Next Generation Sequencing (NGS) technology to cancer research. It aims to systematically introduce the concept of NGS, a variety of NGS platforms and their practical implications in cancer biology.This unique and comprehensive text will integrate the unprecedented NGS technology into various cancer research projects as opposed to most books which offer a detailed description of the technology. This volume will present true experimental results with concrete data processing pipelines, discuss the bottleneck of each platform for real project in cancer research. In additional, single cancer cell sequencing as the proof of concept will be introduced in this book, along with cutting-edge information provided will help the intended audience to develop a comprehensive understanding of the NGS technology and practical whole genome sequencing data analysis and rapidly translate into their own research, specifically in the field of cancer biology.

From the Back Cover

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.