Description
System Biology Approaches for Microbial Pathogenesis Interaction Analysis aids biological researchers to expand their research scope using piled up data generated through recent technological advancement. In addition, it also opens avenues for bioinformatics and computer science researchers to utilize their expertise in biological meaningful ways. It also covers network biology approaches to decipher complex multiple host-pathogen interactions in addition to giving valuable coverage of artificial intelligence.The host-pathogen interactions are generally considered as highly specific interactions leading to a variety of consequences. The utilization of data science approaches has revolutionized scientific research including host-pathogen interaction analyses. Data science approaches coupled with network biology has taken host-pathogen interaction analysis from specific interaction to a new paradigm of understanding consequences of these interaction in the biological network. Unfortunately, basic biological researchers are mostly unaware of these advancements. In contrast, data scientists are not familiar with biological aspects of such data. System Biology Approaches for Microbial Pathogenesis Interaction Analysis will bridge these gaps through a new paradigm of understanding consequences of interaction in biological networks.- 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
Table of Contents
1. Host-pathogen interactions: a general introduction2. Host-pathogen interactions: databases and approaches for data generation3. Generation of host-pathogen interaction data: an overview of recent technological advancements4. Molecular omics: a promising systems biology approach to unravel host-pathogen interactions5. Computational methods for detection of host-pathogen interactions6. Biological interaction networks and their application for microbial pathogenesis7. Dual transcriptomics data and detection of host-pathogen interactions8. Functional overrepresentation analysis and their application in microbial pathogenesis9. Advancements in systems biology-based analysis of microbial pathogenesis10. Host-pathogen interactions with special reference to microbiota analysis and integration of systems biology approaches11. Role of noncoding RNAs in host-pathogen interactions: a systems biology approach12. Systems biology in food industry: applications in food production, engineering, and pathogen detection
