臺灣博碩士論文加值系統

近幾年以來，在生物資訊領域中，由於生物技術的成熟，以及分子生物和基因體研究有長足的進步，已發展許多分析工具及累積大量的資料。對於生物學家而言，經常要用到多個的分析工具，而這些工具往往分布在網路上的各個位置，由不同的提供者以不同的技術建置。生物學家必須要連到各個位置使用服務或分別使用多個應用軟體才能滿足分析的需求。因此，整合這些工具，以及自動化的便利性自然成為我們注意的焦點。
Web services，一個在資訊科技新興的標準規範，Web services平台主要使用XML和HTTP等技術。在本篇論文裡，我們以微陣列資料分析為例，結合Web Services標準規範來架構一個整合的環境。在這裡，我們規劃服務的提供者，服務的操作界面，以及設計一個讓終端用戶可以方便使用的圖形化界面，我們稱之為Integrated Analysis Environment。在這個環境中，可以根據註冊服務後的資訊彈性的產生服務列表，使用者在圖形環境中選擇要使用的分析方法，然後系統會完成所有分析動作，此外我們在系統中加入了工作流程的機制，使得分析研究能夠自動化。由於微陣列資料分析的理論多屬於統計學專門領域，一般生物學者無法輕易運用，是故，規劃的服務必須符合簡潔易用的原則。因此不管服務元件是以何種語言開發或是在何種平台上，元件彼此以XML-based格式文件作溝通。
本篇論文所設計的整合系統，是針對微陣列資料分析的服務來設計，主要提供便利的圖形化界面供使用者操作，並且運用工作流程來自動化完成分析工作，我們初步的實現了基本的功能，但是仍有不足的地方，未來有許多的研究空間。

Over the past few years, the technologies on biology research are significant breakthroughs. Numerous organizations and people have developed various applications and generate biological data host in the bioinformatics field. However, when we want to use those services, we must click and link to every service’s URL one by one so that we couldn’t use all services conveniently and completely. If we can put those useful services together and build a flexible environment, researcher can use all services within this environment by an uncomplicated way. For this purpose, we meditate an integrated system to get rid of the predicament in bioinformatics.
Web services, an emerging technology, used basic and common standards such as XML and HTTP. In this thesis, we propose to adopt Web Services to build a system for integrating several services those are useful tool in bioinformatics for researcher. We provide a feasible solution to achieve the goal. First, we construct a interface that defers to Web Services standard and make good use of R statistical application to implement some web services for remote use. Second, we developed Registry Editor of the Integrated Analysis Environment to provide an integrated GUI environment. Finally, we designed a Workflow Editor and Engine to accomplish the job scheduling analysis tasks using workflow mechanism.
We demonstrated this system can work well in microarray data analysis. This system provided some conveniently interface for easy use, and it also made use of workflow to automate process the job of analysis. The system has completed basic function, but there still remains room for future study.

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