AcCNET

AcCNET analyzes accessory genomes across multiple genomic units by constructing bipartite networks from proteomes to investigate functional and evolutionary relationships within microbial pangenomes.


Key Features:

  • Bipartite Network Construction: Generates bipartite networks from proteomes extracted from analyzed genomes to represent relationships among accessory genes.
  • Phylogenetic and Functional Data Integration: Combines phylogenetic information with functional genomic data to enhance network-based analysis of accessory genomes.
  • Pangenome Analysis: Supports exploration of bacterial pangenomes by focusing on accessory genome components that vary across strains.
  • Network Analysis Compatibility: Produces network structures compatible with standard network analysis platforms for further computational analysis.

Scientific Applications:

  • Microbial Pangenome Analysis: Investigates accessory gene content across bacterial genomes to study strain-level genomic diversity.
  • Evolutionary Genomics: Examines phylogenetic relationships and evolutionary patterns associated with accessory genes.
  • Functional Genomics: Identifies functional gene clusters and their roles within microbial genomic networks.

Methodology:

AcCNET extracts proteomes from genomic units, constructs bipartite networks representing accessory gene relationships, and integrates phylogenetic and functional data to enable network-based analysis of accessory genomes.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
Perl
Added:
8/4/2019
Last Updated:
11/24/2024

Operations

Publications

Lanza VF, Baquero F, de la Cruz F, Coque TM. AcCNET (<u>Ac</u>cessory Genome <u>C</u>onstellation <u>Net</u>work): comparative genomics software for accessory genome analysis using bipartite networks. Bioinformatics. 2016;33(2):283-285. doi:10.1093/bioinformatics/btw601. PMID:27663497.

PMID: 27663497
Funding: - European Commission, Seven Framework Program: EVOTARFP7-HEALTH-282004, PI15-00466, PLASWIRES-612146/FP7-ICT-2013-10 - CIBER in Epidemiology and Public Health: CIBERESP; CB06/02/0053 - Regional Government of Madrid: 2016, PROMPT-S2010/BMD2414

Documentation

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