The structure of the book mirrors the learning steps for understanding how to perform gene finding. ... Its target audience is mainly post-graduate researchers or established researchers with a background in mathematics or statistics applied in bioinformatics who need a thorough yet concise overview of this field. (Irina Ioana Mohorianu, zbMATH 1350.92001, 2017)
It skillfully introduces readers to a difficult subject, while at the same time motivating them to enter this very important area. ... It is best suited for a graduate course or as an introduction for researchers not familiar with this field. ... this is an excellent introduction to comparative gene finding. ... I especially recommend this book to any computer scientist with an interest in current problems in bioinformatics. (Burkhard Englert, Computing Reviews, December, 2015)
Introduction
Single Species Gene Finding
Sequence Alignment
Comparative Gene Finding
Gene Structure Submodels
Parameter Training
Implementation of a Comparative Gene Finder
Annotation Pipelines for Next Generation Sequencing Projects