Browse our latest Computational and Systems Biology articles

A synthetic quadrastable gene network provides a synthetic biology framework to study cell fate determination.

Gene function can be revealed based on characteristic phenotypes using a Cell Painting microscopy assay.

A combination of single-cell techniques and computational analysis enables the simultaneous discovery of cell states, lineage relationships and the genes that control developmental decisions.

A computational model reveals how response properties of category-selective regions in the visual cortex reflect both bottom-up stimulus-driven signals and top-down attentional signals from the parietal cortex.

Sparse patterns in gene expression allow simultaneous discovery of cell states, lineage relationships and key genes controlling developmental decisions.

Mammalian germ layer differentiation is characterized by transitions through discrete cell states, which are transcriptionally as well as functionally distinct.

Cognate site identification uncovers the impact of combinatorial dimerization in specifying new DNA binding sites for human bZIP transcription factors and comprehensive specificity landscapes predict the impact of SNPs on bZIP binding at previously unannotated regulatory loci.

Retinal ephrin-As gradients provide positional information, through retino-collicular map in the superior colliculus, for topographic alignment of cortico-collicular projections.

Data-driven methods predict over 35 mosquitoes are potential vectors of Zika virus, suggesting a larger geographic area and a greater human population is at risk of infection.

The ion channel genealogy resource is a comprehensive and intuitive comparison tool for ion channel models and experimental data, helping to visualize their similarity and function to facilitate better experimentally-constrained modeling.