Algorithms for Next-Generation Sequencing

Algorithms for Next-Generation Sequencing (Chapman & Hall/CRC Mathematical and Computational Biology)18 May 2017
by Wing-Kin Sung
Print Length 页数: 364 pages
Publisher finelybook 出版社: Chapman and Hall/CRC; 1 edition (8 May 2017)
Language 语言: English
ISBN-10: 1466565500
ISBN-13: 9781466565500
B0728CJR7Y
Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before – as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data?
Algorithms for Next-Generation Sequencing
is an invaluable tool for students and researchers in bioinformatics and computational biology,biologists seeking to process and manage the data generated by next-generation sequencing,and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data,it also presents useful case studies describing the applications of this technology.
Contents
Chapter 1: Introduction
Chapter 2: Ngs File Formats
Chapter 3: Related Algorithms And Data Structures
Chapter 4: Ngs Read Mapping
Chapter 5: Genome Assembly
Chapter 6: Single Nucleotide Variation (Snv) Calling
Chapter 7: Structural Variation Calling
Chapter 8: Rna-Seq
Chapter 9: Peak Calling Methods
Chapter 10: Data Compression Techniques Used In Ngs Filles
测序技术的进步使得科学家们能够比以往任何时候更深入地，更大规模地研究人类基因组 – 几天之内就有数以亿计的短读数。但是，处理这种大量数据的最好办法是什么？
下一代测序的算法
对于生物信息学和计算生物学的学生和研究人员来说，是一个非常宝贵的工具，生物学家正在寻求处理和管理下一代测序产生的数据，以及作为教科书或自学资源。除了提供对处理排序数据的算法的深入描述外，还介绍了描述该技术应用的有用案例研究。
目录
第1章: 介绍
第2章: Ngs文件格式
第3章: 相关算法和数据结构
第4章: Ngs读取映射
第5章: 基因组装配
第6章: 单核苷酸变异（SnV）调用
第七章: 结构变异调用
第8章: Rna-Seq
第9章: 峰值呼叫方法
第10章: Ngs填充中使用的数据压缩技术

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