Editors:
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
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (14 chapters)
-
Front Matter
-
Back Matter
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