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.
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.
This book looks at all aspects of next generation sequencing data analysis, and focuses on the practical issuesGuidelines are given for the analysis of the data obtained from each experimentA close look at a rapidly expanding type of facility that will soon be available in almost every laboratory worldwide