Browse our latest Computational and Systems Biology articles

Genetic variants interact with open chromatin to alter gene expression within topologically associated domains of DNA in outbred mice.

A top-down model-guided framework unveils the role of regulatory logics underlying gene regulatory networks in cell fate decisions.

Using sequence-determined functional genomic features instead of original genotypes can partially overcome challenges in genetic association studies, such as rare variant exclusion and population structure.

Integration of language model and geometric deep learning enables accurate and efficient genome-scale annotation of comprehensive protein-ligand binding sites.

Neural networks can emulate normal and abnormal human ventricular action potentials accurately and potentially much faster than regular simulations paving the way for more efficient quantitative systems pharmacology studies.