Statistical genomics is a rapidly developing field‎,‎ with more and more people involved in this area‎.‎ However‎,‎ a lack of synthetic reference books and textbooks in statistical genomics has become a major hurdle on the development of the field‎.‎ Although many books have been published recently in bioinformatics‎,‎ most of them emphasize DNA sequence analysis under a deterministic approach‎.‎ Principles of Statistical Genomics synthesizes the state‎-of‎-the‎-art statistical methodologies ‎(‎stochastic approaches‎)‎ applied to genome study‎.‎ It facilitates understanding of the statistical models and methods behind the major bioinformatics software packages‎,‎ which will help researchers choose the optimal algorithm to analyze their data and better interpret the results of their analyses‎.‎ Understanding existing statistical models and algorithms assists researchers to develop improved statistical methods to extract maximum information from their data‎.‎ Resourceful and easy to use‎,‎ Principles of Statistical Genomics is a comprehensive reference for researchers and graduate students studying statistical genomics‎.‎