An analysis of the first complete synaptic resolution connectome of Drosophila's navigation circuit uncovers neural network motifs supporting broadly relevant sensorimotor computations.

Mutations that affect a metabolic network generically exhibit epistasis, which propagates to higher level phenotypes, such as fitness, carrying some information about the network’s topology.

Theory explains how transport of gene expression vortices by cell advection may cause intermingled defective and normal segments along the body axis during resynchronization experiments in the zebrafish segmentation clock.

An inference paradigm for extracting neuronal correlations from two-photon imaging data, without requiring intermediate spike deconvolution, provides significant performance gains over existing methods as demonstrated by theoretical analysis, simulation studies, and real-data applications.

For analyzing time-dependent patch-clamp or patch-clamp fluorometry data of ion channels in terms of Markovian models, the superiority of Bayesian filtering with respect to traditional deterministic approaches is demonstrated enabling more reliable quantification of the parameters.

Computational evolutionary model to predict the efficacy of broadly neutralizing antibodies (bNAbs) in suppressing HIV and to design optimal combination therapy with bNAbs.