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Multicellular modeling is increasingly being used to understand biological systems. SimuCell3D is a tool that allows mechanically realistic simulations, using the deformable cell model, to be developed and run.
Determining the different cell types that contribute to a mixture of DNA is key for research and diagnostic applications. Here, authors comprehensively benchmark DNA methylation-based deconvolution methods, evaluating their performance and robustness to technical bias.
A computational study describing a parallel extension to software “STochastic Engine for Pathway Simulation" that simulates vesicles and their interactions with the cellular environment, including endocytosis, docking, fusion and active transport.
The techniques available for comparing protein structures do not focus directly on the chemical nature of residue environments. Here, authors describe a computational method that can capture both the spatial and chemical dissimilarities of residue surroundings.
In this Tools of the Trade article, Vipul Singhal and Nigel Chou describe BANKSY, a machine learning tool that harnesses gene expression gradients from the neighbourhood of a cell for cell typing and domain segmentation.
Multicellular modeling is increasingly being used to understand biological systems. SimuCell3D is a tool that allows mechanically realistic simulations, using the deformable cell model, to be developed and run.
Wearable sweat sensors could be used to monitor patients with heart failure, providing a route to personalized and automated patient management in hospitals and at home.