Abstract
The maximum likelihood method is considered as one of the most reliable methods for phylogenetic tree inference. However, as the number of species increases, the approach quickly loses its applicability due to explosive exponential number of trees that need to be considered. An earlier work by one of the authors [3] demonstrated that, by decomposing the trees into fragments called splits, and calculating the individual likelihood of each (small) split and combining them would result in a very close approximation of the true maximum likelihood value, as well as achieving significant reduction in computational cost. However, the cost was still significant for a practical number of species that need to be considered. To solve this problem, we further extend the algorithm so that it could be effectively parallelized in a Grid environment using Grid middleware such as Ninf and Jojo, and also applied combinatorial optimization techniques. Combined, we achieved over 64 times speedup over our previous results in a testbed of 16 nodes, with favorable speedup characteristics.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Nakada, H., Matsuoka, S., Sekiguchi, S.: Java-Based Programming Environment for Hierarchical Grid: Jojo. In: Proceedings of IEEE Computing in Clusters and the Grid (CCGrid) 2004, April. The IEEE Press, Los Alamitos (2004)
Nakada, H., Sato, M., Sekiguchi, S.: Design and Implementation of Ninf: Towards a Global Computing Infrastructure. Future Generation Computing Systems, Metacomputing Issue 15, 649–658 (1999)
Shimodaira, H.: Multiple Comparisons of Log-Likelihoods and Combining Nonnested Models with Applications to Phylogenetic Tree Selection. Comm. In Statistics, Part A-Theory and Meth. 30, 1751–1772 (2001)
Yang, Z.: Paml: A Program Package for Phylogenetic Analysis by Maximum Likelihood. In: CABIOS, vol. 13, pp. 555–556 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yamamoto, Y., Nakada, H., Shimodaira, H., Matsuoka, S. (2005). Parallelization of Phylogenetic Tree Inference Using Grid Technologies. In: Konagaya, A., Satou, K. (eds) Grid Computing in Life Science. LSGRID 2004. Lecture Notes in Computer Science(), vol 3370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32251-1_10
Download citation
DOI: https://doi.org/10.1007/978-3-540-32251-1_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25208-5
Online ISBN: 978-3-540-32251-1
eBook Packages: Computer ScienceComputer Science (R0)