Algorithms for Next-Generation Sequencing
- Length: 364 pages
- Edition: 1
- Language: English
- Publisher: Chapman and Hall/CRC
- Publication Date: 2017-05-18
- ISBN-10: B0728CJR7Y
- Sales Rank: #1405146 (See Top 100 Books)
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.
Table of 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
Donate to keep this site alive
1. Disable the AdBlock plugin. Otherwise, you may not get any links.
2. Solve the CAPTCHA.
3. Click download link.
4. Lead to download server to download.