Our work involves developing an intelligent, time- and memory-efficient parallel clustering algorithm for the soybean EST database (dbEST). Furthermore, we plan to analyze the resulting clusters for over- and under-clustering problems. The end result will be a tool for soybean researchers to help further the current research in gene identification. --Abstract, page iii
