A System for Prediction of Transcriptional Regulatory Modules in Human Upstream Control Regions of Coregulated Genes
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...
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ndltd-TW-091NCU053920512016-06-22T04:14:51Z http://ndltd.ncl.edu.tw/handle/10749978956499916208 A System for Prediction of Transcriptional Regulatory Modules in Human Upstream Control Regions of Coregulated Genes 以共調控人類基因的上游調控區預測轉錄調控模組之系統 Yi-Ming Sun 孫怡明 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. Jorng-Tzong Hong 洪炯宗 2003 學位論文 ; thesis 53 en_US |
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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.
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author2 |
Jorng-Tzong Hong |
author_facet |
Jorng-Tzong Hong Yi-Ming Sun 孫怡明 |
author |
Yi-Ming Sun 孫怡明 |
spellingShingle |
Yi-Ming Sun 孫怡明 A System for Prediction of Transcriptional Regulatory Modules in Human Upstream Control Regions of Coregulated Genes |
author_sort |
Yi-Ming Sun |
title |
A System for Prediction of Transcriptional Regulatory Modules in Human Upstream Control Regions of Coregulated Genes |
title_short |
A System for Prediction of Transcriptional Regulatory Modules in Human Upstream Control Regions of Coregulated Genes |
title_full |
A System for Prediction of Transcriptional Regulatory Modules in Human Upstream Control Regions of Coregulated Genes |
title_fullStr |
A System for Prediction of Transcriptional Regulatory Modules in Human Upstream Control Regions of Coregulated Genes |
title_full_unstemmed |
A System for Prediction of Transcriptional Regulatory Modules in Human Upstream Control Regions of Coregulated Genes |
title_sort |
system for prediction of transcriptional regulatory modules in human upstream control regions of coregulated genes |
publishDate |
2003 |
url |
http://ndltd.ncl.edu.tw/handle/10749978956499916208 |
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