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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
Published on: August 14, 2018
Porting PHYLIP phylogenetic package on the desktop GRID platform XtremWeb-CH.
Nabil Abdennadher1, Regis Boesch
1University of Applied Sciences, Western Switzerland.
Studies in Health Technology and Informatics
|May 4, 2007
Summary
This study parallelized the PHYLIP phylogenetic software on the XtremWeb-CH grid platform. This enables faster evolutionary tree generation, crucial for analyzing large datasets like HIV virus evolution.
Area of Science:
- Computational Biology
- Bioinformatics
- Distributed Computing
Background:
- PHYLIP is a widely-used phylogenetic package for inferring evolutionary trees.
- Sequential execution of some PHYLIP modules is computationally intensive, limiting analysis of large datasets.
- Existing grid platforms often lack a fully symmetric peer-to-peer model.
Purpose of the Study:
- To parallelize and deploy PHYLIP modules on the XtremWeb-CH desktop grid platform.
- To evaluate the performance and applicability of the parallelized PHYLIP for evolutionary analysis.
- To demonstrate the capabilities of XtremWeb-CH for high-performance computing tasks.
Main Methods:
- Porting and deployment of selected PHYLIP modules onto the XtremWeb-CH infrastructure.
- Utilizing XtremWeb-CH's symmetric peer-to-peer architecture for distributed computation.
- Execution of parallelized PHYLIP for generating phylogenetic trees.
Main Results:
- Successful parallelization and execution of PHYLIP modules on the XtremWeb-CH platform.
- Demonstrated feasibility of using desktop grids for computationally demanding phylogenetic analyses.
- Generated evolutionary trees for HIV viruses using the parallelized PHYLIP.
Conclusions:
- The parallelized PHYLIP on XtremWeb-CH offers a viable solution for accelerating phylogenetic inference.
- XtremWeb-CH provides a flexible and efficient platform for distributed scientific computing.
- This approach enhances the capacity for analyzing complex evolutionary relationships, such as those in viral evolution.
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