Development And Application Of Human Disease DNA Methylation Database

Epigenetics is an important way to regulate the expression of genes in the body.DNA methylation is the most widely known epigenetic modification,which plays a important role in the occurrence and development of diseases.Specific abnormal DNA methylation is a recognized cancer sign.Through the integration and mining of methylation data generated by high-throughput microarray and sequencing technologies,researchers can help researchers discover new candidate disease biomarkers.Therefore,it is necessary to provide a comprehensive human disease DNA methylation repository.Therefore,this project has developed a human disease methylation database(Diseasemeth3.0),which aims to present human diseases,especially abnormalities in various cancers.The most complete gene annotation for DNA methylation.In recent years,with the rapid development of next-generation sequencing technology,it has promoted the generation of a large number of methylation high-throughput chips and sequencing technology data.The main work of this research is the effectiveness of DNA methylation data sets for various diseases.Storage and statistical analysis.The database collects high-throughput data sets and experimental information from public databases such as TCGA and GEO,and uses bioinformatics methods to identify differential DNA methylation sites and differentially methylated regions of the disease,and perform different subtypes of cancer.Prognostic analysis,and combined gene expression profile data to analyze the correlation between DNA methylation and gene expression between diseases.In order to facilitate users to retrieve information,this research has developed a variety of search options,including query using gene ID and disease name,and more precise advanced query options.In addition to the basic query function,this database has also developed a difference analysis tool that can automatically identify differences in DNA methylation between disease samples and normal samples.In order to promote further mining of disease methyl groups,three network tools are used for aggregation.Class analysis,functional annotation and survival analysis.This research has also developed a novel genome browser tool,which provides users with a visualized genome landscape and displays the methylation information of human diseases in a more flexible way.Disease Meth3.0 focuses on the study of abnormal methylation of human diseases,and stores all the methylation information obtained by analysis in a database for users to use,providing researchers with a comprehensive human methylation disease data resource database.To promote research in the fields related to DNA methylation diseases.