Sequence Analysis Of Yeast Genome

The main objective of "Human Genome Project" is to determine the full human genome sequence, and then clarify the gene location, structure, function, regulate of the expression and the pathogenesis of major diseases. With the sequencing of human genome sequence completion, it was recognized that cracked the human genome base sequence, does not mean that already know the secret of life. Model organisms (eg Saccharomyces cerevisiae) has a simple structure and genetic composition of small and less features, so that model organisms genome research is more easily. Therefore, the level of the genome of yeast genome for human genome research to provide positive guidance.This thesis includes four parts:Part I: A brief introduction genome of Saccharomyces cerevisiae and its development.Part II: Introduction associated with this thesis, biology and statistics.Part III: Based on the Saccharomyces cerevisiae genome sequence data, gene expression data and gene encoding the protein classification data, the establishment of a database for statistical analysis.Part IV: In the yeast genome level, the statistical analysis of the different growth stages in the cell, the relationship between gene function and gene expression level and the relationship in function of genes in the gene expression levels and codon bias, GC content, gene length. The results showed that: in the different stages of mitosis, the expression levels of different genes at different of classification, and, with the period of biological processes related to gene classes than the other functional classes are specific expression. In the whole genome, expression and sequence characteristic parameters was significantly correlated. However, found in the correlation analysis between the expression of different functional class and sequence characteristic parameters that all functional classification with the CAI and CBI were significantly correlated, and the correlation coefficient higher than the whole genome. However, not all functional classes and GC content and gene length was significantly and a lot of low correlation coefficient.