Bioinformatics for High Throughput Sequencing
The ultimate goal of bioinformatics is to extract biological knowledge out of the large amount of information generated by the scientific community. The chapters compiled in this volume will allow both biologists and computer scientists to understand the significance and potential of this discipline...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2012, 2012
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| Edition: | 1st ed. 2012 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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