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.

PMID: 36451166
PMCID: PMC9710047
Funding: - Norges Forskningsråd: 324137

Links