Data from genome sequencing is huge and contains substantial amount of immunologically relevant data that gives rise to the development of immunoinformatics which, is an intersection between experimental immunology and computational approaches. Current application of immunoinformatics defines new hypotheses related to immune responses e.g in the design of in silico vaccination and immune system modelling i.e modelling of immunological data and problems. Different sequence- and structure-based immunoinformatics methods are applied here and scientist groomed to query data and solve complex problems.NiiN linked “biomolecular simulation and biomedical informatics laboratory” is primed to address research and development issues that bothers on the design and study of algorithms for mapping potential B- and T-cell epitopes therefore, reducing the time and cost needed for laboratory analysis of pathogen gene products. Developing capacity for such tools enables analyses of the sequence areas with potential binding sites or antigenic proteins needed for the development of new vaccines specifically in reverse vaccinology