A System for Prediction of Transcriptional Regulatory Modules in Human Upstream Control Regions of Coregulated Genes

• Main Authors: Yi-Ming Sun, 孫怡明
• Other Authors: Jorng-Tzong Hong
• Format: Others
• Language: en_US
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/10749978956499916208

碩士 === 國立中央大學 === 資訊工程研究所 === 91 === The microarray technology provides a method to reveal expression profiles of huge number genes. By using gene expression profiles, gene groups with the same expression pattern can be found. The mechanisms to regulate gene expression are an important subject in studying molecular biology. Finding transcriptional regulatory binding sites is one key point to totally understand gene expression regulation mechanisms. Therefore, an automatic system integrates various methods to analyze regulatory sites is the contribution of this study. In this study we develop a system to predict transcriptional regulatory binding sites. Using the gene group, which is correlated in regulatory mechanisms, is submitted by users. The system provides the followings to discover every possible regulatory site. 1. Various prediction programs (e.g. Meme, Gibbs, etc.) that are applied in many real cases. 2. Special sequences (e.g. over-represented repeat and known-site). It also provides useful statistical values to filter significant results. Then, by analyzing the association, we can use the information of candidate sites to find regulatory modules. The information in each databases integrated in this system can provide users to get some related information. This helps to adjust parameters efficiently in analyzing process for better results. The system also provides a lot of methods to represent prediction results. We will get more understanding and assistance to make decisions. At the end, we propose an analyzed real cases to describe the result of this system.