AuCoMe

AuCoMe reconstructs and standardizes genome-scale metabolic networks (GSMNs) from annotated genomes to enable unbiased comparative metabolic analysis across organisms.


Key Features:

  • Automated GSMN Reconstruction: Automatically reconstructs genome-scale metabolic networks from heterogeneous genome annotations while integrating existing manual annotations.
  • Network Homogenization: Standardizes metabolic network structure and annotations across organisms to reduce technical biases in comparative analyses.
  • Metabolic Specificity Preservation: Maintains organism-specific metabolic characteristics while producing comparable GSMN representations.
  • Cross-Species Comparative Analysis: Enables identification of shared and divergent metabolic features among different organisms.

Scientific Applications:

  • Comparative Metabolic Network Analysis: Facilitates systematic comparison of genome-scale metabolic networks across multiple species.
  • Metabolic Evolution Research: Supports investigation of conserved and divergent metabolic pathways across evolutionary lineages.
  • Microbial and Eukaryotic Metabolism Studies: Enables metabolic network analysis across diverse taxa including bacteria, fungi, and algae.

Methodology:

AuCoMe processes annotated genomes to automatically reconstruct genome-scale metabolic networks while integrating manual annotations and standardizing network structure for comparative analysis.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
library, workflow
Programming Languages:
Python
Added:
6/19/2024
Last Updated:
11/24/2024

Operations

Publications

Belcour A, Got J, Aite M, Delage L, Collén J, Frioux C, Leblanc C, Dittami SM, Blanquart S, Markov GV, Siegel A. Inferring and comparing metabolism across heterogeneous sets of annotated genomes using AuCoMe. Genome Research. 2023;33(6):972-987. doi:10.1101/gr.277056.122. PMID:37468308. PMCID:PMC10629481.

PMID: 37468308
Funding: - National Research Agency: ANR-10-BTBR-04 - Région Bretagne: SAD 2016-METALG (9673)