Overview
- This practical guide provides detailed descriptions of the models and algorithms and how to implement them in an easy-to-follow style
- The book summarizes the advances in the field and gives clear and concise instructions on how to proceed though the project process, enabling readers to be able to construct their own gene finding software
- Includes supplementary material: sn.pub/extras
Part of the book series: Computational Biology (COBO, volume 11)
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Table of contents (7 chapters)
Keywords
About this book
Reviews
From the reviews:
“I found it to be a sufficiently comprehensive documentation of gene finding approaches and techniques. … Therefore, this book’s publication was extremely welcome news. Readers should really have a good background … in order to fully benefit from this book. … synopsis will hopefully give potential readers a fairly good idea of the nature of the book. In summary, this book is as good as it could be for the purposes it states.” (M. M. Tanik, ACM Computing Reviews, September, 2010)Authors and Affiliations
Bibliographic Information
Book Title: Comparative Gene Finding
Book Subtitle: Models, Algorithms and Implementation
Authors: Marina Axelson-Fisk
Series Title: Computational Biology
DOI: https://doi.org/10.1007/978-1-84996-104-2
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2010
Softcover ISBN: 978-1-4471-2539-6Published: 05 May 2012
eBook ISBN: 978-1-84996-104-2Published: 30 January 2010
Series ISSN: 1568-2684
Series E-ISSN: 2662-2432
Edition Number: 1
Number of Pages: XV, 304
Topics: Bioinformatics, Computational Biology/Bioinformatics, Biochemistry, general