Browse our latest Computational and Systems Biology articles

Mean kurtosis brain maps, derived from a sub-diffusion model with a novel clinically feasible two-diffusion-time acquisition, exhibit superior tissue contrast compared to the traditional diffusional kurtosis imaging (DKI).

An encompassing resource of differentially phosphorylated proteins forms the basis for identifying missing links in cell fate determination and morphogenesis, including, for example, microtubules as mediators of different functions in cells along the dorso-ventral axis.

HILARy is a new algorithm for grouping B-cell receptor sequences into distinct lineages, a crucial task to analyze immune response and memory through repertoire sequencing.

Like two peas in a pod but not exactly alike, similar molecules targeting the same bacterial protein behave differently, requiring systems biology and target deconvolution to gain better comprehension.

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.