SummaryNumerous antibodies have been identified from HIVâ1âinfected donors that neutralize diverse strains of HIVâ1. These antibodies may provide the basis for a B cellâmediated HIVâ1 vaccine. However, it has been unclear how to elicit similar antibodies by vaccination. To address this issue, we have undertaken an informaticsâbased approach to understand the genetic and immunologic processes controlling the development of HIVâ1âneutralizing antibodies. As DNA sequencing comprises the fastest growing database of biological information, we focused on incorporating nextâgeneration sequencing of Bâcell transcripts to determine the origin, maturation pathway, and prevalence of broadly neutralizing antibody lineages (Antibodyomics1, 2, 4, and 6). We also incorporated largeâscale robotic analyses of serum neutralization to identify and quantify neutralizing antibodies in donor cohorts (Antibodyomics3). Statistical analyses furnish another layer of insight (Antibodyomics5), with physical characteristics of antibodies and their targets through molecular dynamics simulations (Antibodyomics7) and free energy perturbation analyses (Antibodyomics8) providing informationârich output. Functional interrogation of individual antibodies (Antibodyomics9) and synthetic antibody libraries (Antibodyomics10) also yields multiâdimensional data by which to understand and improve antibodies. Antibodyomics, described here, thus comprise resolutionâenhancing tools, which collectively embody an informationâdriven discovery engine aimed toward the development of effective B cellâbased vaccines.