Genome Annotation
eBook - PDF

Genome Annotation

  1. 270 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

About this book

The success of individualized medicine, advanced crops, and new and sustainable energy sources requires thoroughly annotated genomic information and the integration of this information into a coherent model. A thorough overview of this field, Genome Annotation explores automated genome analysis and annotation from its origins to the challenges of next-generation sequencing data analysis.

The book initially takes you through the last 16 years since the sequencing of the first complete microbial genome. It explains how current analysis strategies were developed, including sequencing strategies, statistical models, and early annotation systems. The authors then present visualization techniques for displaying integrated results as well as state-of-the-art annotation tools, including MAGPIE, Ensembl, Bluejay, and Galaxy. They also discuss the pipelines for the analysis and annotation of complex, next-generation DNA sequencing data. Each chapter includes references and pointers to relevant tools.

As very few existing genome annotation pipelines are capable of dealing with the staggering amount of DNA sequence information, new strategies must be developed to accommodate the needs of today's genome researchers. Covering this topic in detail, Genome Annotation provides you with the foundation and tools to tackle this challenging and evolving area. Suitable for both students new to the field and professionals who deal with genomic information in their work, the book offers two genome annotation systems on an accompanying downloadable resources.

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Yes, you can access Genome Annotation by Jung Soh, Paul M.K. Gordon, Christoph W. Sensen in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Games. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Contents
  3. Preface
  4. Authors
  5. Contributor
  6. Chapter 1 - DNA Sequencing Strategies
  7. Chapter 2 - Coding Sequence Prediction
  8. Chapter 3 - Between the Genes
  9. Chapter 4 - Genome-Associated Data
  10. Chapter 5 - Characterization of Gene Function through Bioinformatics: The Early Days
  11. Chapter 6 - Visualization Techniques and Tools for Genomic Data
  12. Chapter 7 - Functional Annotation
  13. Chapter 8 - Automated Annotation Systems
  14. Chapter 9 - Dynamic Annotation Systems: End-User-Driven Annotation and Visualization
  15. Chapter 10 - Web-Based Workflows
  16. Chapter 11 - Analysis Pipelines for Next-Generation Sequencing Data
  17. Back Cover