MuGVRE

MuGVRE provides a cloud-based computational environment for 3D and 4D genomics analyses, integrating molecular dynamics simulations and next-generation sequencing (NGS) processing to support high-throughput genomic workflows.


Key Features:

  • Metadata framework: Associates tools with relevant datasets to enable interoperability and management of complex genomic workflows.
  • Cloud infrastructure: Leverages openNebula cloud systems for scalable compute resources supporting high-computation applications.
  • Scheduling systems: Supports traditional queueing systems to handle applications with fixed computational demands.
  • Elastic multi-scale execution: Employs the pyCOMPSs programming model managed by the PMES scheduler to accommodate distributed and multi-scale execution schemes.
  • Workload support: Targets molecular dynamics simulations and high-throughput next-generation sequencing processing.

Scientific Applications:

  • 3D and 4D genomics analyses: Enables analysis of three-dimensional and temporal genomic architectures.
  • Molecular dynamics simulations: Provides infrastructure for compute-intensive molecular dynamics studies.
  • Next-generation sequencing (NGS) processing: Supports high-throughput processing of NGS data for genomic analyses.
  • Large-scale genomic workflows: Manages and executes complex multi-tool workflows for large-scale genomic data analysis.

Methodology:

MuGVRE uses openNebula cloud systems and an extensive metadata framework to associate tools with datasets, supports traditional queueing systems, and employs the pyCOMPSs elastic multi-scale programming model managed by the PMES scheduler for distributed or multi-scale execution.

Topics

Collections

Details

License:
Apache-2.0
Cost:
Free of charge
Tool Type:
web application, workflow
Programming Languages:
PHP, Python
Added:
1/12/2021
Last Updated:
5/29/2025

Operations

Data Inputs & Outputs

DNA-binding protein prediction

Gene regulatory network analysis

Nucleic acid sequence analysis

Other operations do not define inputs or outputs.

Publications

Codó L, Bayarri G, Cid-Fuentes JA, Conejero J, Royo R, Repchevsky D, Pasi M, Meletiou A, McDowall MD, Reham F, Alcantara JA, Jimenez-Garcia B, Walther J, Illa R, Serra F, Goodstadt M, Castillo D, Sati S, Buitrago D, Brun-Heath I, Fernandez-Recio J, Cavalli G, Marti-Renom M, Yates A, Laughton CA, Badia RM, Orozco M, Gelpí JL. MuGVRE. A virtual research environment for 3D/4D genomics. Unknown Journal. 2019. doi:10.1101/602474.

Documentation

Links

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