State-of-the-art statistical methodologies in genomics, proteomics, epigenetics and metabolomics Multiple chapters on protein-protein interaction and next-generation sequencing Each chapter provides a guide to the existing software packages available for implementing the methodologies introduced in it or, if there is none, supplies the code Plenty of examples and illustrative diagrams to help understand the key concepts An accompanying website containing useful additional resources such as links to some of the datasets and databases mentioned in the book, as well as some computer codes

This handbook offers guidance on selections of appropriate computational methods and software packages for specific genetic problems. Coverage strikes a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among competing methods and software are made to highlight the relative advantages and disadvantage of the approaches.