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Current approaches to whole genome phylogenetic analysis
George Sawa1, Jo Dicks, Ian N Roberts
1Bioinformatics Research Group at the John Innes Centre, Colney, Norfolk, UK. george.savva@bbsrc.ac.uk
Briefings in Bioinformatics
|April 29, 2003
Summary
Estimating evolutionary relationships (phylogenies) can now utilize whole genome comparisons, moving beyond traditional gene sequence analysis. This review covers various genomic comparison methods, including their strengths and weaknesses.
Area of Science:
- Computational Biology
- Bioinformatics
- Evolutionary Biology
Background:
- Phylogenetic trees have traditionally been inferred using homologous gene or protein sequences.
- Recent advancements allow for phylogenetic inference through whole-genome comparisons.
- Genomic comparisons focus on gene content and gene order.
Purpose of the Study:
- To review and discuss methods for estimating phylogenies using whole-genome comparisons.
- To evaluate the merits and limitations of different phylogenetic inference approaches.
- To identify available software for genomic phylogenetic analyses.
Main Methods:
- Maximum parsimony methods for genomic comparison.
- Distance-based methods for genomic comparison.
- Emerging maximum likelihood and Bayesian methods for genomic phylogenetics.
Main Results:
- Various computational methods exist for inferring phylogenies from genomic data.
- Each method (parsimony, distance, likelihood, Bayesian) possesses distinct advantages and disadvantages.
- Software tools are available to implement these genomic phylogenetic approaches.
Conclusions:
- Whole-genome comparisons offer a powerful alternative to sequence-based methods for phylogenetic inference.
- Understanding the nuances of different computational methods is crucial for accurate evolutionary tree construction.
- The field is advancing with the development of sophisticated likelihood and Bayesian techniques.