Biomedical subjects

Zu-Guo Yu

Publications and source records attributed to Zu-Guo Yu.

4 recordsLinked to original sources

PubMed2005

A fractal method to distinguish coding and non-coding sequences in a complete genome based on a number sequence representation.

A fractal method to distinguish coding and non-coding sequences in a complete genome is proposed, based on different statistical behaviors between these two kinds of sequences. We first propose a number sequence representation of DNA sequences. Multifractal analysis is then performed on the measure representation of the obtained number sequence. The three exponents C(-1), C1 and C2 are selected from the result of multifractal analysis. Each DNA may be represented by a point in the three-dimensional space generated by these three-component vectors. It is shown that points corresponding to coding and non-coding sequences in the complete genome of many prokaryotes are roughly distributed in different regions. Fisher's discriminant algorithm can be used to separate these two regions in the spanned space. If the point (C(-1),C1,C2) for a DNA sequence is situated in the region corresponding to coding sequences, the sequence is discriminated as a coding sequence; otherwise, the sequence is classified as a non-coding one. For all 51 prokaryotes we considered , the average discriminant accuracies pc,pnc,qc and qnc reach 72.28%, 84.65%, 72.53% and 84.18%, respectively.

Animals↗

PubMed2004

Chaos game representation of protein sequences based on the detailed HP model and their multifractal and correlation analyses.

Similar to the chaos game representation (CGR) of DNA sequences proposed by Jeffrey (Nucleic Acid Res. 18 (1990) 2163), a new CGR of protein sequences based on the detailed HP model is proposed. Multifractal and correlation analyses of the measures based on the CGR of protein sequences from complete genomes are performed. The Dq spectra of all organisms studied are multifractal-like and sufficiently smooth for the Cq curves to be meaningful. The Cq curves of bacteria resemble a classical phase transition at a critical point. The correlation distance of the difference between the measure based on the CGR of protein sequences and its fractal background is also proposed to construct a more precise phylogenetic tree of bacteria.

Bacterial Proteins↗

PubMed2003

Origin and phylogeny of chloroplasts revealed by a simple correlation analysis of complete genomes.

The complete sequenced genomes of chloroplast have provided much information on the origin and evolution of this organelle. In this paper we attempt to use these sequences to test a novel approach for phylogenetic analysis of complete genomes based on correlation analysis of compositional vectors. All protein sequences from 21 complete chloroplast genomes are analyzed in comparison with selected archaea, eubacteria, and eukaryotes. The distance-based analysis shows that the chloroplast genomes are most closely related to cyanobacteria, consistent with the endosymbiotic origin of chloroplasts. The chloroplast genomes are separated to two major clades corresponding to chlorophytes (green plants) s.l. and rhodophytes (red algae) s.l. The interrelationships among the chloroplasts are largely in agreement with the current understanding on chloroplast evolution. For instance, the analysis places the chloroplasts of two chromophytes (Guillardia and Odontella) within the rhodophyte lineage, supporting secondary endosymbiosis as the source of these chloroplasts. The relationships among the green algae and land plants in our tree also agree with results from traditional phylogenetic analyses. Thus, this study establishes the value of our simple correlation analysis in elucidating the evolutionary relationships among genomes. It is hoped that this approach will provide insights on comparative genome analysis.

Chloroplasts↗

PubMed2003

Multifractal and correlation analyses of protein sequences from complete genomes.

A measure representation of protein sequences similar to the measure representation of DNA sequences proposed in our previous paper [Yu et al., Phys. Rev. E 64, 031903 (2001)] and another induced measure are introduced. Multifractal analysis is then performed on these two kinds of measures of a large number of protein sequences derived from corresponding complete genomes. From the values of the D(q) (generalized dimensions) spectra and related C(q) (analogous specific heat) curves, it is concluded that these protein sequences are not completely random sequences. For substrings with length K=5, the D(q) spectra of all organisms studied are multifractal-like and sufficiently smooth for the C(q) curves to be meaningful. The C(q) curves of all bacteria resemble a classical phase transition at a critical point. But the "analogous" phase transitions of higher organisms studied exhibit the shape of double-peaked specific heat function. But for the classification problem, the multifractal property is not sufficient. When the measure representations of protein sequences from complete genomes are considered as time series, a method based on correlation analysis after removing some memory from the time series is proposed to construct a phylogenetic tree. This construction is shown to be reasonably satisfactory.

Animals↗