Embedding operational taxonomic units in three-dimensional spce for evolutionary distance relationship in phylogenetic analysis

Authors:
Seung Hee Lee;Kyung Soon Hwang;Hye Ry Lee;Sung Soo Kim;Keon Myung Lee;Chan Hee Lee;Sung Duck Lee
Affiliations:
School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Korea;School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Korea;School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Korea;School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Korea;School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Korea;Department of Microbiology, Department of Statistics, Chungbuk National University, Cheongju, Korea;Department of Microbiology, Department of Statistics, Chungbuk National University, Cheongju, Korea
Venue:
CSECS'06 Proceedings of the 5th WSEAS International Conference on Circuits, Systems, Electronics, Control & Signal Processing
Year:
2006

Citing 5
Cited 0

Visual exploration of large data sets

Communications of the ACM
TreeJuxtaposer: scalable tree comparison using Focus+Context with guaranteed visibility

ACM SIGGRAPH 2003 Papers
Phylogenetic trees: an information visualisation perspective

APBC '04 Proceedings of the second conference on Asia-Pacific bioinformatics - Volume 29
Introduction to Machine Learning (Adaptive Computation and Machine Learning)

Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Exploratory Data Analysis with MATLAB (Computer Science and Data Analysis)

Exploratory Data Analysis with MATLAB (Computer Science and Data Analysis)

Quantified Score

Hi-index	0.00

Visualization

Abstract

Phylogenetic analysis is one of important issues in bioinformatics, which estimates evolutionary relationship of operational taxonomic units. The phylogenetic trees used in phylogenetic analysis are weak in expressing information about the evolutionary distances among those units. This paper proposes a method to embed them into a three-dimensional space for evolutionary distance expression and presents the developed tool to visualize them in a three-dimensional space along with a two-dimensional tree view.