教師資料查詢 | 類別: 會議論文 | 教師: 蕭瑛東 HSIAO YING-TUNG (瀏覽個人網頁)

標題:A novel statistical cut-strategy for DP-based multiple biosequence alignment
學年94
學期1
發表日期2005/11/02
作品名稱A novel statistical cut-strategy for DP-based multiple biosequence alignment
作品名稱(其他語言)
著者Hsiao, Ying-Tung; Chuang, Cheng-Long; Mo, chun-Hung; Chien, Cheng-Chih; Jiang, Joe-Air
作品所屬單位淡江大學電機工程學系
出版者IEEE
會議名稱Signal Processing Systems Design and Implementation, 2005. IEEE Workshop on
會議地點Athen, Greece
摘要In this paper, a novel cut-strategy is presented for solving the problems of multiple biosequence alignment. Sequence comparison is the most important primitive operation for analyzing of the bioinformatics data. The most fundamental method for alignment of several biosequences is the dynamic programming (DP) technique. The DP method is capable of finding optimal alignments for a set of sequences. However, when the length of the sequences increased, the DP method is impracticable due to the computational complexity is extremely high. Therefore, a new method is proposed in this paper for reducing the computational cost of the DP technique. By recursively finding the structural features of the biosequences, the proposed method can divide the biosequences into very small alignment problem, which can be directly solved by DP, or other applicable methods that can produce the results of alignment faster. By utilizing the object-oriented programming technique, the proposed method also provides low memory space consumption during execution. Moreover, the proposed algorithm has been implemented in an x86 demonstration program, and compares the effective and efficient performance with other known method.
關鍵字
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20051102~20051104
通訊作者
國別希臘
公開徵稿Y
出版型式
出處Signal Processing Systems Design and Implementation, 2005. IEEE Workshop on, pp.419-424
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