Integration of Genomic and Transcriptomic Data to Elucidate Molecular Processes in Babesia divergens

Emerging pathogens have developed ingenious life cycles to facilitate their growth and survival in the host organism. Detailed knowledge of the life cycle of these pathogens is increasingly necessary if we are to design new strategies to prevent infection and transmission. Multi-omics platforms provide useful data at different biological levels, and integration of these data into current approaches can facilitate holistic assessment of emerging pathogens. In this chapter, we bring together various methods and apply an integrative approach for analysis of genomic and transcriptomic data in Babesia divergens, an Apicomplexa emerging parasite that invades red blood cells and causes redwater fever in cattle and the most severe form of babesiosis in humans in Europe. The integrative methodology described herein can be helpful to identify genes active at specific points during life cycle of Apicomplexa parasites.