Title :
Visualization of logic analysis of phylogenetic profiles (LAPP)
Author :
Robbins, Kay A. ; Zhao, Li
Author_Institution :
Dept. of Comput. Sci., Texas Univ., San Antonio, TX, USA
Abstract :
Recently Bowers et al analyzed triplet logic relationships among 4873 clusters of orthologous groups (COGS) from 67 fully sequenced organisms by calculating how well logic relationships between proteins a and b predicted the presence or absence of protein c (the uncertainty). The log of the normalized uncertainty distribution follows an approximately linear relationship for uncertainties in the interval [0.1, 0.9]. Using fitted parameters of this relationship as a characterization, we develop four types of visual analysis for LAPP data: distributions of uncertainty over logical relation type, distributions of uncertainty over functional categories, relationships of uncertainty of the overall population to known network relationships of a particular organism, and relationships of uncertainty distributions to groups obtained by standard clustering techniques. The purpose of this study is two-fold: to better understand the implications of uncertainty predictions for automatic protein network generation and to create new visualization tools for looking at this type of data.
Keywords :
biology computing; data visualisation; evolution (biological); genetics; proteins; uncertainty handling; automatic protein network generation; data visual analysis; fitted parameters; logic analysis of phylogenetic profile; normalized uncertainty distribution; orthologous group cluster; proteins; sequenced organisms; standard clustering technique; triplet logic relationship; visualization tools; Bioinformatics; Computer science; Databases; Genomics; Logic; Organisms; Phylogeny; Proteins; Uncertainty; Visualization;
Conference_Titel :
Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
Print_ISBN :
0-7695-2442-7
DOI :
10.1109/CSBW.2005.140