Bioinformatics for Vaccinology

The post-genomic era, as manifest by transcriptomics and proteomics, offers unparalleled opportunities for the efficient discovery of safe, efficacious, and novel subunit vaccines targeting a tranche of current, major diseases. Yet such opportunities risk being squandered. Informatics techniques - which address issues of both data management and prediction thereby shortcutting the enormous economic burden of the experimental process - can be of great benefit in leveraging the post-genomic revolution, particularly in the under-explored field of vaccinology. This book shows how bioinformatic techniques can solve key problems from vaccinology and immunology. The book is useful and interesting to both immunologist and bioinformatician, while retaining an audience amongst specialist immunoinformaticians. Immunologists and vaccinologists are not interested in how computational tools work at a deep, computer science level, but are interested in how they can be used to progress vaccine discovery. Bioinformaticians are interested in how their skills can be incorporated into ongoing vaccinology and immunology research. By careful thematic structuring and segmentation, this book addresses such an audience, allowing people to select the material most relevant to them.