Application and utilization of data science approaches has revolutionized scientific research including host–pathogen interaction analyses. Host–pathogen interactions are generally considered highly specific interactions, resulting in a variety of consequences. Data science approaches coupled with network biology has taken host–pathogen interaction analysis from specific interaction to a new paradigm of understanding the consequences of these interactions within a biological network. Unfortunately, basic biological researchers are mostly unaware of these advancements. Conversely, data scientists are not familiar with biological aspects of such data.

Systems Biology Approaches for Host–Pathogen Interaction Analyses benefits biological researchers by expanding the scope of their research and utilization of their accumulated data using recent technological advancements. In addition, the book also opens avenues for bioinformatics and computer science researchers to utilize their expertise in biologically meaningful ways.

• Cover approaches to decipher complex multiple host–pathogen interactions
• Gives biological researcher an insight into the utilization of technological advancements in the field of host–pathogen interaction analyses in their work
• Provides a new paradigm of understanding the consequences of host–pathogen interaction in biological systems