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Bioinformatics for High Throughput Sequencing

  • Book
  • © 2012

Overview

  • This book looks at all aspects of next generation sequencing data analysis, and focuses on the practical issues

  • Guidelines are given for the analysis of the data obtained from each experiment

  • A close look at a rapidly expanding type of facility that will soon be available in almost every laboratory worldwide

  • Includes supplementary material: sn.pub/extras

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Table of contents (14 chapters)

About this book

Next generation sequencing is revolutionizing molecular biology. Owing to this new technology it is now possible to carry out a panoply of experiments at an unprecedented low cost and high speed. These go from sequencing whole genomes, transcriptomes and small non-coding RNAs to description of methylated regions, identification protein – DNA interaction sites and detection of structural variation. The generation of gigabases of sequence information for each of this huge bandwidth of applications in just a few days makes the development of bioinformatics applications for next generation sequencing data analysis as urgent as challenging.

Editors and Affiliations

  • CIC bioGUNE, Genome Analysis Platform, Derio, Spain

    Naiara Rodríguez-Ezpeleta, Ana M. Aransay

  • Computational Genomics and Bioinformatic, University of Granada, Granada, Spain

    Michael Hackenberg

Bibliographic Information

  • Book Title: Bioinformatics for High Throughput Sequencing

  • Editors: Naiara Rodríguez-Ezpeleta, Michael Hackenberg, Ana M. Aransay

  • DOI: https://doi.org/10.1007/978-1-4614-0782-9

  • Publisher: Springer New York, NY

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: Springer Science+Business Media, LLC 2012

  • Hardcover ISBN: 978-1-4614-0781-2Published: 25 October 2011

  • Softcover ISBN: 978-1-4899-9876-7Published: 25 October 2014

  • eBook ISBN: 978-1-4614-0782-9Published: 26 October 2011

  • Edition Number: 1

  • Number of Pages: XI, 255

  • Number of Illustrations: 4 b/w illustrations, 25 illustrations in colour

  • Topics: Bioinformatics, Human Genetics, Biomedicine general

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