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Published on: May 22, 2018
webMGR: an online tool for the multiple genome rearrangement problem
Chi Ho Lin1, Hao Zhao, Sean Harry Lowcay
1Genome Institute of Singapore, 60 Biopolis Street, #02-01, Genome, Singapore 138672.
The MGR algorithm reconstructs genome evolution phylogenies. New heuristics significantly speed up this process, making evolutionary analysis more accessible, and a web server (webMGR) aids result navigation.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- The MGR algorithm reconstructs phylogenetic trees based on gene or synteny block order across multiple genomes.
- Previous applications of MGR were limited by computationally intensive running times.
- A web server, webMGR, has been developed for accessing the MGR tool and its results.
Purpose of the Study:
- To improve the computational efficiency of the MGR algorithm.
- To enhance the usability of MGR for phylogenetic reconstruction.
- To provide a user-friendly web interface for analyzing genomic rearrangement data.
Main Methods:
- Development of novel heuristics to accelerate MGR's execution.
- Implementation of a web server (webMGR) for enhanced result visualization and navigation.
- Validation of improved algorithm accuracy alongside speed enhancements.
Main Results:
- Significant reduction in MGR's running time without sacrificing accuracy.
- Successful application of optimized MGR to diverse genomic datasets.
- Development of a comprehensive web interface for intuitive exploration of phylogenetic results.
Conclusions:
- The enhanced MGR algorithm offers a faster and more accurate method for reconstructing rearrangement phylogenies.
- webMGR provides an accessible platform for researchers to study genome evolution.
- The improved tool and web server facilitate broader application of phylogenetic analysis in genomics.
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