Bioinformatics for High Throughput Sequencing

Herausgegeben:Rodriguez-Ezpeleta, Naiara; Hackenberg, Michael; Aransay, Ana M.

• Gebundenes Buch

Produktbeschreibung

This book looks at all aspects of next generation sequencing data analysis. It offers guidelines for the comprehension of the main data analysis steps and provides new insights into existing software and inspiration to develop new applications.

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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.

Produktdetails

• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 80015438, 978-1-4614-0781-2
• 2012
• Seitenzahl: 268
• Erscheinungstermin: 25. Oktober 2011
• Englisch
• Abmessung: 241mm x 160mm x 21mm
• Gewicht: 514g
• ISBN-13: 9781461407812
• ISBN-10: 1461407818
• Artikelnr.: 33574406

Inhaltsangabe

Preface.
Introduction.
Overview of Sequencing Technology Platforms.
Applications of High Throughput Sequencing.
Computational Infrastructure and Basic Data Analysis for High
Throughput Sequencing.
Base
Calling for Bioinformaticians.
De Novo Short Read Assembly.
Short Read Mapping.
DNA
Protein Interaction Analysis (ChIP
Seq).
Genome
wide Methylation Maps.
Differential Expression for RNA Sequencing (RNA
seq) Data: Mapping, Summarization, Statistical Analysis and Experimental Design.
MicroRNA Expression Profiling and Discovery.
Dissecting Splicing
Regulatory Network by Integrative Analysis of HITS
CLIP data.
Analysis of Metagenomics Data.
High Throughput Sequencing Data Analysis Software: Current State and Future Developments.
Index.

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Preface.- Introduction.- Overview of Sequencing Technology Platforms.- Applications of High Throughput Sequencing.- Computational Infrastructure and Basic Data Analysis for High-Throughput Sequencing.- Base-Calling for Bioinformaticians.- De Novo Short Read Assembly.- Short Read Mapping.- DNA-Protein Interaction Analysis (ChIP-Seq).- Genome-wide Methylation Maps.- Differential Expression for RNA Sequencing (RNA-seq) Data: Mapping, Summarization, Statistical Analysis and Experimental Design.- MicroRNA Expression Profiling and Discovery.- Dissecting Splicing-Regulatory Network by Integrative Analysis of HITS-CLIP data.- Analysis of Metagenomics Data.- High Throughput Sequencing Data Analysis Software: Current State and Future Developments.- Index.