"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.

"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.

"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.