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EDGAR: a software framework for the comparative analysis of prokaryotic genomes
Jochen Blom1, Stefan P Albaum, Daniel Doppmeier
1Computational Genomics, Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany. jblom@cebitec.uni-bielefeld.de
BMC Bioinformatics
|May 22, 2009
Summary
EDGAR software facilitates comparative genomics by automating genome analysis and identifying core genes. It enables accurate phylogenetic studies, simplifying evolutionary relationship surveys for biological insights.
Area of Science:
- Genomics
- Bioinformatics
Background:
- Next-generation sequencing has increased the availability of sequenced genomes.
- Comparative genomics is crucial for identifying orthologous genes and classifying core genes versus singletons.
Purpose of the Study:
- To develop an automated framework for high-throughput comparative genome analysis.
- To simplify the study of evolutionary relationships and gene content in related genomes.
Main Methods:
- The EDGAR (Efficient Database framework for comparative Genome Analyses using BLAST score Ratios) software was developed.
- Comparative analyses were performed on 582 genomes across 75 genera from the NCBI genomes database.
- Phylogenetic analysis of ten Xanthomonas genomes was conducted as a specific application case.
Main Results:
- EDGAR successfully automated high-throughput genome comparisons.
- The software generated phylogenetic trees consistent with traditional methods.
- Accurate phylogenetic rooting of bacterial strains was achieved.
Conclusions:
- EDGAR simplifies comparative genome analysis and evolutionary relationship surveys.
- The software provides novel insights into differential gene content.
- Web-based visualization tools are available for community access.
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