Abstract
This paper reports a parallel processing system for inference of phylogenetic trees. The trees are inferred from DNA sequence data by using a maximum likelihood method based on a stochastic model of the evolutional process. This method gives a good representation of the trees, but the computational cost has hindered the use of this method for inferring trees with more than about 20 species. By a parallel processing method based on a function partitioning approach, we achieved to reduce the cost significantly and obtained the phylogenetic tree of several hundreds of species on a massively parallel machine.
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE Pac Rim Conf Commun Comput Signal Process |
| Publisher | Publ by IEEE |
| Pages | 280-283 |
| Number of pages | 4 |
| ISBN (Print) | 0780312198 |
| State | Published - 1993 |
| Externally published | Yes |
| Event | Proceedings of the IEEE 1993 Pacific Rim Conference on Communications, Computers and Signal Processing - Victoria, BC, Can Duration: May 19 1993 → May 21 1993 |
Other
| Other | Proceedings of the IEEE 1993 Pacific Rim Conference on Communications, Computers and Signal Processing |
|---|---|
| City | Victoria, BC, Can |
| Period | 5/19/93 → 5/21/93 |
ASJC Scopus subject areas
- Engineering(all)