Book contents
- Frontmatter
- Contents
- Foreword by Steven Salzberg
- Preface
- Acknowledgements
- 1 Introduction
- 2 Mathematical preliminaries
- 3 Overview of computational gene prediction
- 4 Gene finder evaluation
- 5 A toy exon finder
- 6 Hidden Markov models
- 7 Signal and content sensors
- 8 Generalized hidden Markov models
- 9 Comparative gene finding
- 10 Machine-learning methods
- 11 Tips and tricks
- 12 Advanced topics
- Appendix
- References
- Index
Appendix
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Foreword by Steven Salzberg
- Preface
- Acknowledgements
- 1 Introduction
- 2 Mathematical preliminaries
- 3 Overview of computational gene prediction
- 4 Gene finder evaluation
- 5 A toy exon finder
- 6 Hidden Markov models
- 7 Signal and content sensors
- 8 Generalized hidden Markov models
- 9 Comparative gene finding
- 10 Machine-learning methods
- 11 Tips and tricks
- 12 Advanced topics
- Appendix
- References
- Index
Summary
Official book website
The official website for this book is located at:
http://www.geneprediction.org/book
Here you will find sample code, sample data, links to other online resources, information about other editions of the book, supplementary chapters, errata, and other information relevant to the book. In the near future we hope to add course materials such as slides and solutions to selected exercises from the book.
Open-source gene finders
As of the current printing of this book, the following gene finders are known to be available as open-source software. Note that all open-source programs are not governed by the same license; before modifying or redistributing any of this software, you should check the licensing agreement under which a specific program is distributed. Information about specific licensing agreements can be found at the web addresses given below, or by contacting the author(s) of the specific programs.
- Type
- Chapter
- Information
- Methods for Computational Gene Prediction , pp. 388 - 389Publisher: Cambridge University PressPrint publication year: 2007