6533b858fe1ef96bd12b655e

RESEARCH PRODUCT

TiFoSi: an efficient tool for mechanobiology simulations of epithelia

Oriol Canela-xandriJavier BucetaJavier BucetaSamira Anbari

subject

Statistics and ProbabilityCell signalingCell divisionComputer scienceSystems biologyIn silicoCellBiophysicsMorphogenesisVertex ModelContext (language use)Computational biologyCleavage (embryo)BiochemistryEpitheliumFeedbackMechanobiologyEpithelia Simulation03 medical and health sciencesParacrine signallingMechanobiologyTissue engineeringMorphogenesismedicineComputer SimulationCellular dynamicsMolecular Biology030304 developmental biology0303 health sciencesSystems Biology030302 biochemistry & molecular biologyComputational BiologyCell cycleTissue SimulationJuxtacrine signallingComputer Science ApplicationsComputational Mathematicsmedicine.anatomical_structureComputational Theory and MathematicsDevelopmental biologyCell DivisionSoftwareDevelopmental Biology

description

[Motivation]: Emerging phenomena in developmental biology and tissue engineering are the result of feedbacks between gene expression and cell biomechanics. In that context, in silico experiments are a powerful tool to understand fundamental mechanisms and to formulate and test hypotheses.

yearjournalcountryeditionlanguage
2020-02-13Bioinformatics
https://doi.org/10.1093/bioinformatics/btaa592