Predictive Methods for Genomics and Evolution

The pioneering guide to innovative alignment-free predictive methods in genomics and bioinformatics

Predictive Methods for Genomics and Evolution provides a comprehensive and cohesive overview of alignment-free methods in genomics and bioinformatics, primarily based on DNA/RNA. The book uniquely combines traditional biology and new computational data science methodologies to explore key biological questions such as the definition of a biological species, the nature of evolution and speciation, phylogenetic inference, pathogenicity, and the origin of life. Alingment-free methods hold potential for different interpretations of current hypotheses in the light of an more and more biological data. Throughout the book, the results of current conventional methods and novel alignment free methods are compared and evaluated across a wide range of topics, providing validation and rationale for the shift towards the application of new methods.