MoDLE
MoDLE simulates stochastic molecular contacts produced by DNA loop extrusion to generate genome-wide chromatin contact maps for studying 3D genome organization.
Key Features:
- Stochastic loop extrusion modeling: Performs stochastic modeling of molecular contacts resulting from DNA loop extrusion.
- Genome-wide simulation speed: Produces genome-wide simulations and contact maps within minutes.
- High-fidelity contact maps: Replicates contact maps with high accuracy.
- Agreement with molecular dynamics and Micro-C: Simulated contact maps align closely with traditional molecular dynamics simulations and experimental Micro-C data.
- Orders-of-magnitude performance: Achieves simulation times that are orders of magnitude faster than existing methodologies.
- Computational scalability: Operates across a spectrum of hardware environments from standard laptops to high-performance computing clusters.
Scientific Applications:
- 3D genome architecture modeling: Enables study of genome structure and function through simulated chromatin contacts.
- Investigating chromatin interactions: Facilitates investigation of genome-wide interactions and chromosomal behavior.
- Exploratory and predictive modeling: Supports exploratory and predictive modeling of loop-extrusion–driven contact patterns.
- Benchmarking and validation: Allows comparison and validation against Micro-C experimental data and molecular dynamics simulations.
Methodology:
Performs stochastic simulations of molecular contacts induced by DNA loop extrusion to generate genome-wide contact maps and compares simulated maps to molecular dynamics results and experimental Micro-C data.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- C++, Python, Shell
- Added:
- 2/22/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Rossini R, Kumar V, Mathelier A, Rognes T, Paulsen J. MoDLE: high-performance stochastic modeling of DNA loop extrusion interactions. Genome Biology. 2022;23(1). doi:10.1186/s13059-022-02815-7. PMID:36451166. PMCID:PMC9710047.