Algorithms for next-generation sequencing / Wing-Kin Sung.

Format:

Book

Author/Creator:

Sung, Wing-Kin, author.

Series:

Chapman and Hall/CRC mathematical & computational biology series.

Chapman & Hall/CRC Mathematical and Computational Biology Series

Language:

English

Subjects (All):

Bioinformatics.

Nucleotide sequence.

Genetic algorithms.

Physical Description:

1 online resource (347 pages) : illustrations

Edition:

1st ed.

Place of Publication:

Boca Raton, FL : CRC Press, Taylor & Francis Group, [2017]

Summary:

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:

1. Introduction

2. NGS file formats

3. Related algorithms and data structures

4. NGS read mapping

5. Genome assembly

6. Single nucleotide variation (SNV) calling

7. Structural variation calling

8. RNA-seq

9. Peak calling methods

10. Data compression techniques used in NGS files.

Notes:

"A Chapman & Hall book."

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-4987-5298-5

1-315-37435-8

1-4665-6551-9

OCLC:

987790994