  The BORG algorithm is an inference engine that derives the initial conditions
given a cosmological model and galaxy survey data, and produces physical
reconstructions of the underlying large-scale structure by assimilating the
data into the model. We present the application of BORG to real galaxy catalogs
and describe the primordial and late-time large-scale structure in the
considered volumes. We then show how these results can be used for building
various probabilistic maps of the large-scale structure, with rigorous
propagation of uncertainties. In particular, we study dynamic cosmic web
elements and secondary effects in the cosmic microwave background.
