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The Study of Computing Evolutionary distance
Other Title
物種演化距離計算之研究
Type
conference
Date Issued
2007
Author(s)
孫光天
魏至軒
張定宗
劉紋君
徐褘佑
Koun-Tem Sun
Jr-Shiuan Wei
Ting-Tsung Chang
Wen-Chun Liu
Yi-Yu Hsu
Subjects
資訊處
國際醫學資訊研討會論文集
Abstract
物種演化距離之計算,可幫助我們了解不同物種的親緣關係,在生物學上有極重要的地位,應用方向主要包括長期演化的親緣分析(phylogenetic analysis)和親緣樹(phylogenetic tree)的設計,以往在此類長期的演化研究的分析,常會使用不合於實際情形的強假設,使計算方法只適用於某些的情況,如穩定性、非穩定性、同質性與異質性,本研究就是要建立一個能適用於穩定性、非穩定性、同質性與異質性等不同情形皆適用的方法。我們將此演化距離計算公式,命名為兩階段法(Two-Phase method),最後我們將兩階段法與JC、K2P、K3P、GTR、LogDet等方法做比較,發現本方法在不同情況下,皆有最高正確率,顯示本研究所提之技術,對於物種距離計算為一有效之工具。
We can understand the phylogeny of different species by calculating the evolutionary distance which is important to biology. The application of estimating evolutionary rates methods includes the design of phylogenetic analysis and phylogenetic tree. In the past, long-term evolutionary analyses were almost applied to unrealistic strong assumptions which only conformed to some situations, such as stationary, non-stationary, homogeneity, and heterogeneity. The point in our study is to derive a new method for estimating evolutionary rates which generally adapts to stationary, non-stationary, homogeneity, heterogeneity situations. We give a name to our evolutionary distance calculating method TP(Two-Phase method). Comparing the results with JC、K2P、K3P、GTR、LogDet, TP for estimating evolutionary rates has the remarkable accuracy than others, and the technology of the study is a sufficient tool for evolutionary distance calculating.
We can understand the phylogeny of different species by calculating the evolutionary distance which is important to biology. The application of estimating evolutionary rates methods includes the design of phylogenetic analysis and phylogenetic tree. In the past, long-term evolutionary analyses were almost applied to unrealistic strong assumptions which only conformed to some situations, such as stationary, non-stationary, homogeneity, and heterogeneity. The point in our study is to derive a new method for estimating evolutionary rates which generally adapts to stationary, non-stationary, homogeneity, heterogeneity situations. We give a name to our evolutionary distance calculating method TP(Two-Phase method). Comparing the results with JC、K2P、K3P、GTR、LogDet, TP for estimating evolutionary rates has the remarkable accuracy than others, and the technology of the study is a sufficient tool for evolutionary distance calculating.
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