Comparison Of Phylogenetic Trees Using Difference Distance Function Method
This study is mainly about the construction of phylogenetic trees using for difference di stance functions methods. The purpose of the study is to do the comparison and analysis of the phylogenetic tree produced by the four distance functions in order to determine the correct and better phylogenet...
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| Main Author: | |
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| Format: | Final Year Project Report / IMRAD |
| Language: | en |
| Published: |
Universiti Malaysia Sarawak, (UNIMAS)
2005
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/47449/1/Maziah%20Binti%20Medin%20FT.pdf http://ir.unimas.my/id/eprint/47449/ |
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| Summary: | This study is mainly about the construction of phylogenetic trees using for difference di stance functions methods. The purpose of the study is to do the comparison and analysis of the phylogenetic tree produced by the four distance
functions in order to determine the correct and better phylogenetic tree. The comparison is done in line with the objective, to find the most accurate distance function.
This study take in four algorithms of difference distance function which are the Pearson correlation coefficient, Euclidean distance, Manhattan distance and the
Averaged dot product. The pre-processing is implemented using the Microsoft Visual C++. The phylogenetic tree is build using the PHYLlP (the PHYlogeny Inference
Package), a package of programs for inferring phylogenies (evolutionary trees). PHYLIP contains program for reconstructing trees from distance matrices. The
comparisons are based on the percentage of bootstrap values which represent its level of confidence. The highest percentage gained from the Pearson Correlation
Coefficient distance function. 57%. The other function produced 54%. 52 % and 51 % level of confidence for Manhattan distance. Averaged 001 Product and Euclidean
di stance correspondingly. |
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