Research On Methods And Tools Based On Biological Data Integration Analysis

With the development of biological technology and computer technology, the amount of various biological data is growing rapidly. How to make use of large amounts of data to study issues from a comprehensive point of view will become a research fo-cus. Computational techniques provide the necessary technical support for the analysis of biological data and the formation of new biological hypotheses. The research of life science has become more and more dependent on computer science, which needs computational methods and bio-aided tools to support its research. On the one hand computational techniques support the design of biological experiments. Design of bi-ological experiment is complicated and easy to make a mistake. Especially with the development of high-throughput technologies, design of biological experiments is al-most difficult to complete by manual, which needs bio-aided tools for help. On the other hand computational techniques support biological data processing and analysis. Facing with a large number of biological data, how to integrate data and discover the inner relationship and difference between them has become hot topics in bioinformatics. Computational methods and tools are needed to help researchers to better research.Computer science has a growing influence on the development of life science. For the above two aspects of demand of computational methods and tools, related research is carried out in paper. The main work includes:(1) Research on the computational technique for DNA chip synthesis technology. In order to resolve the problems of ap-plication of microarray technology in gene synthesis, based on the traditional gene syn-thesis design method, an improved method is proposed to adapt to the new chip synthe-sis technology. On the basis of this, it is applied to the synthesis design of metabolic pathway and protein directed evolution. A web server for metabolic pathway synthesis design and a tool for homologous protein library construction based on improved re-combination method are implemented for chip synthesis design. (2) Disease network construction based on literature mining and database integration. A web platform is offered for network reconstruction. Based on data mining and database integration, it obtains a comprehensive knowledge about disease by combination use of databases and literature. Then the tool will combine all the information to construct a disease-related network automatically giving a comprehensive insight into a disease instead of man-ual collection of information. (3) Integration analysis of Cancer Genome Atlas(TCGA) multidimensional data based on biological pathway and network knowledge. Combined with the biological pathway information, we presented a way to analyze mutated genes of cancers of many types. The analysis results reveal significantly mutated genes in- volved in a variety of cellular processes, as well as the common significant mutations and specific mutations in different cancers. The application of the integrated network found that the significantly mutated genes in different cancers have strong connectivity and cancer in the same tissue is similar to that in the same group. An integrated analysis based on protein-protein interaction (PPI) network was proposed to analyze the associa-tion among the three types data of colon cancer. The result is showed that the abnormal changes of different genes produce similar phenotypes through the interaction network, and important oncogenes were identified.