Algorithms for Next-Generation Sequencing

1. Auflage 2020
ISBN: 978-0-367-65797-0
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 364 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 508 g

Reihe: Chapman & Hall/CRC Computational Biology Series

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.

Autoren/Hrsg.

Sung, Wing-Kin

Fachgebiete

• Naturwissenschaften Biowissenschaften Mikrobiologie
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
• Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Enzyklopädien, Nachschlagewerke, Wörterbücher
• Mathematik | Informatik Mathematik Stochastik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Naturwissenschaften Biowissenschaften Biowissenschaften Biowissenschaften, Biologie: Sachbuch, Naturführer

Inhaltsverzeichnis

Introduction. Reference Alignment. Genome Assembly. Variation Discovery by Mapping to Reference. RNA-seq. ChIP-seq. Meta-Genomic. Other Technologies.

Über Autor(innen)

Wing-Kin Sung