GDA

GDA analyzes and characterizes genome architecture from genome assemblies to reveal arrangements of genes and other genomic features relevant to evolutionary pressures, chromosomal segregation, and gene expression regulation.


Key Features:

  • Genome architecture characterization: Performs systematic decomposition and characterization of genome architecture from assemblies.
  • Gene and genomic feature arrangement analysis: Analyzes spatial arrangement of genes and other genomic features across assemblies.
  • Evolutionary signal detection: Identifies patterns in genome architecture that reflect evolutionary pressures.
  • Biological process association: Links architectural features to processes such as chromosomal segregation and gene expression regulation.
  • Scalability: Scales to large genomes and has been applied to single-celled eukaryotic parasites from the phylum Apicomplexa.
  • Large-scale assembly support: Designed to work with high-quality genome assemblies from projects such as the Darwin Tree of Life and the Earth BioGenome Project.
  • Discovery of hidden features: Detects novel or previously unrecognized genomic features within complex datasets.
  • Detailed characterization output: Produces detailed descriptions of genomic arrangements for downstream analysis.

Scientific Applications:

  • Genome architecture analysis: Characterize overall genomic organization and structural patterns.
  • Evolutionary genomics: Investigate how genome architecture reflects evolutionary pressures.
  • Functional genomics: Study relationships between genome architecture and chromosomal segregation or gene expression regulation.
  • Parasite genomics: Analyze genomes of Apicomplexa and other single-celled eukaryotic parasites.
  • Large-scale comparative genomics: Apply to assemblies from the Darwin Tree of Life and the Earth BioGenome Project for comparative studies.
  • Novel feature discovery: Identify previously unrecognized genomic elements or arrangements.

Methodology:

Implemented as a bioinformatics pipeline that decomposes genome assemblies to analyze and characterize genome architecture.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
workflow
Operating Systems:
Linux, Mac
Programming Languages:
Python, R
Added:
8/24/2022
Last Updated:
11/24/2024

Operations

Publications

Aunin E, Berriman M, Reid AJ. Characterising genome architectures using genome decomposition analysis. BMC Genomics. 2022;23(1). doi:10.1186/s12864-022-08616-3. PMID:35610562. PMCID:PMC9131526.

PMID: 35610562
PMCID: PMC9131526
Funding: - Wellcome: 206194/Z/17/Z

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