Immunoinformatics Cyberinfrastructure for Modeling and Analytics

The twenty-first century immunology research requires the collaboration of a team of scientists with different backgrounds and expertise including immunologists, biochemists, molecular biologists, bioinformaticians, statisticians, and mathematicians to address important immunological questions. For this team to work seamlessly and efficiently we require an immunoinformatics cyberinfrastructure that supports the collection of experimental data (. in vitro, ex vivo, preclinical, and clinical) and metadata, the aggregation, analysis and visualization of this data and presentation of analysis results, the model building, calibration and analysis process, and finally the maintenance of quality assurance. This chapter describes the cyberinfrastructure required to integrate computational modeling, big data analytics, portal science, and procedural knowledge to engineer synthetic systems-wide information processing representations of immune responses.