SMITH
SMITH simulates intra-tumour heterogeneity using a branching process with a confinement mechanism to model spatially constrained clonal dynamics in cancer evolution.
Key Features:
- Branching process with confinement: Employs a branching process augmented by a confinement mechanism that restricts clonal growth based on individual clone size and the overall tumour population.
- Spatial constraints: Incorporates spatial constraints to reproduce clonal interactions and spatially driven selection within tumours.
- Efficiency and scalability: Scales to simulate up to 1 billion cells within minutes on a standard desktop PC, enabling high-resolution simulations of large tumour populations.
- Geometric interpretation: Provides geometric interpretations of tumour evolution to facilitate analysis of spatial and clonal dynamics.
Scientific Applications:
- Evolutionary dynamics: Studies how selection pressures and mutation rates affect cellular fitness and clonal trajectories within tumours.
- Intra-tumour heterogeneity modeling: Models spatially structured clonal heterogeneity across diverse cancer types.
- Therapeutic exploration: Enables exploration of how clonal composition and spatial constraints may influence responses to targeted therapies.
Methodology:
Combines a branching process model with a confinement mechanism that limits clonal growth by clone size and total tumour population and incorporates spatial constraints to simulate clonal dynamics and produce geometric interpretations.
Topics
Details
- License:
- CC-BY-4.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- C#, Python
- Added:
- 8/21/2023
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Modelling and simulation
Outputs
Publications
Streck A, Kaufmann TL, Schwarz RF. SMITH: spatially constrained stochastic model for simulation of intra-tumour heterogeneity. Bioinformatics. 2023;39(3). doi:10.1093/bioinformatics/btad102. PMID:36825830. PMCID:PMC10010604.
PMID: 36825830
PMCID: PMC10010604
Funding: - German Ministry for Education and Research: 01IS18025A, 01IS18037A
Downloads
- Software packagehttps://bitbucket.org/schwarzlab/pyfish