CMDWave: Conserved motifs detection using wavelets

Tariq Riaz, Kuo Bin Li, Francis Tang, Arun Krishnan*

*此作品的通信作者

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)

摘要

CMDWave (Conserved Motif Detection using WAVElets) is a web server that predicts conserved motifs in protein sequences. A set of query protein sequences are first aligned using ClustalW to obtain equal sized sequences. CMDWave then converts the sequences into a numerical representation using electron-ion interaction potential (EIIP). This is followed by a wavelet decomposition and reconstruction. A new similarity metric along with thresholding is then used to identify conserved motifs across all the query sequences. Users need not specify the number of motifs to be identified. For larger groups of sequences, results can be emailed to the users.

原文English
頁(從 - 到)415-418
頁數4
期刊In Silico Biology
5
發行號4
出版狀態Published - 2月 2005

指紋

深入研究「CMDWave: Conserved motifs detection using wavelets」主題。共同形成了獨特的指紋。

引用此