COBREXA.jl

COBREXA.jl provides scalable, high-performance implementations of constraint-based reconstruction and analysis (COBRA) methods for large-scale metabolic and multi-organism community models.


Key Features:

  • Scalability: Handles very large-scale metabolic models, including multi-organism community models.
  • High Performance: Optimized for computationally intensive constraint-based analyses to improve execution speed on large networks.
  • Integration with high-performance computing environments: Enables execution and resource utilization on modern high-performance computing infrastructures.
  • Constraint-based methodologies: Implements constraint-based reconstruction and analysis (COBRA) methodologies for metabolic modeling.

Scientific Applications:

  • Systems biology: Supports analysis of metabolic networks to investigate system-level metabolic functions and interactions.
  • Metabolic engineering: Applicable for designing and evaluating modifications to metabolic networks in engineering contexts.
  • Microbial community modeling: Enables modeling and analysis of metabolic interactions within multi-organism communities.
  • Synthetic biology: Facilitates evaluation of engineered metabolic functions in designed organisms and consortia.
  • Ecosystem modeling: Supports modeling metabolic interactions within ecological communities at scale.

Methodology:

Implements constraint-based reconstruction and analysis (COBRA) methodologies and employs an architecture with an optimized processing pipeline to promote scalability and execution on high-performance computing environments.

Topics

Collections

Details

License:
Apache-2.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Julia
Added:
5/20/2021
Last Updated:
11/24/2024

Operations

Publications

Kratochvíl M, Heirendt L, Wilken SE, Pusa T, Arreckx S, Noronha A, van Aalst M, Satagopam VP, Ebenhöh O, Schneider R, Trefois C, Gu W. COBREXA.jl: constraint-based reconstruction and exascale analysis. Bioinformatics. 2021;38(4):1171-1172. doi:10.1093/bioinformatics/btab782. PMID:34791064. PMCID:PMC8796381.

PMID: 34791064
PMCID: PMC8796381
Funding: - European Union’s Horizon 2020 Programme under the PerMedCoE Project: 951773 - Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence: Strategy–EXC-2048/1–project ID 390686111 - EU’s Horizon 2020 research and innovation program: 862087

Documentation

Links