title: Using databases and data mining in vaccinology.
abstract: Throughout time functional immunology has accumulated vast amounts of quantitative and qualitative data relevant to the design and discovery of vaccines. Such data includes, but is not limited to, components of the host and pathogen genome (including antigens and virulence factors), T- and B-cell epitopes and other components of the antigen presentation pathway and allergens. In this review the authors discuss a range of databases that archive such data. Built on such information, increasingly sophisticated data mining techniques have developed that create predictive models of utilitarian value. With special reference to epitope data, the authors discuss the strengths and weaknesses of the available techniques and how they can aid computer-aided vaccine design deliver added value for vaccinology.
authors.affiliation: The Jenner Institute, University of Oxford, Compton, Berkshire, RG20 7NN, UK. Darren.Flower@jenner.ac.uk.
authors.forename: Matthew N
authors.initials: MN
authors.lastname: Davies
authors.forename: Pingping
authors.initials: P
authors.lastname: Guan
authors.forename: Martin J
authors.initials: MJ
authors.lastname: Blythe
authors.forename: Jesper
authors.initials: J
authors.lastname: Salomon
authors.forename: Christopher P
authors.initials: CP
authors.lastname: Toseland
authors.forename: Channa
authors.initials: C
authors.lastname: Hattotuwagama
authors.forename: Valerie
authors.initials: V
authors.lastname: Walshe
authors.forename: Irini A
authors.initials: IA
authors.lastname: Doytchinova
authors.forename: Darren R
authors.initials: DR
authors.lastname: Flower