Browse our latest Computational and Systems Biology articles

Approximately 13% of figures in biology-related research articles are difficult for people with red/green colorblindness to decipher, but machine-learning models can help to identify these.

Benchmark simulations show that the VEXAT muscle model is more accurate than a Hill-type muscle model at mimicking the response of biological muscle to length changes great and small.

Nearly a thousand diverse adaptive mutants converge into a handful of groups for which fitness responds the same way to environmental change.

ImmCellTyper enhances CyTOF data analysis by combining expert biological knowledge with advanced clustering tools to provide an accurate, comprehensive, and user-friendly solution for high-dimensional immune profiling.

Tronko provides a scalable solution for accurate taxonomic assignment for large-scale metabarcoding datasets by overcoming the speed and memory limitations of previous phylogenetic placement methods.

Identifying, indexing, and annotating molecular dynamics simulations open data is essential to ensure their proper reuse.