Algorithms for Next-Generation Sequencing

Algorithms for Next-Generation Sequencing Front Cover
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364 pages

Book Description

Advances in sequencing 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? 

for Next-Generation Sequencing

is an invaluable tool for students and researchers in bioinformatics and computational , 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
Chapter 4: Ngs Read
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: Techniques Used In Ngs Filles

Book Details

  • Title: Algorithms for Next-Generation Sequencing
  • Author:
  • Length: 364 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2017-05-18
  • ISBN-10: B0728CJR7Y
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