除了傳統的大型平行電腦之外，由於許多高效能處理器的誕生以及擁有高速傳輸頻寬的網路和許多有用發展工具的出現，使得分散式電腦叢集在現今的科學計算領域中扮演了非常重要的角色。如我們所知，生物資訊領域的相關軟體可以加速巨量序列資料的分析，尤其是針對序列的分析比對。因此我們利用了目前處理器價格低廉的特點，利用八台雙處理器的電腦建構一組主從式架構的個人電腦叢集以作為生物資訊之計算平台。在此篇論文中，利用mpiBLAST與HMMer兩種平行版本的生物資訊應用軟體，並且紀錄與比較其序列比對所需的時間與效能。而論文中也會提及關於此系統之架構以及叢集電腦的效能分析等。

In addition to the traditional massively parallel computers, distributed workstation clusters now play an important role in scientific computing perhaps due to the advent of commodity high performance processors, low-latency/high-band width networks and powerful development tools. As we know, bioinformatics tools can speed up the analysis of large-scale sequence data, especially about sequence alignment. To fully utilize the relatively inexpensive CPU cycles available to today’s scientists, a PC cluster consists of one master node and seven slave nodes (16 processors totally), is proposed and built for bioinformatics applications. We use the mpiBLAST and HMMer on parallel computer to speed up the process for sequence alignment. The mpiBLAST software uses a message-passing library called MPI (Message Passing Interface) and the HMMer software uses a software package called PVM (Parallel Virtual Machine), respectively. The system architecture and performances of the cluster are also presented in this paper.