CMDWave: Conserved motifs detection using wavelets

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)415-418
Number of pages4
JournalIn Silico Biology
Volume5
Issue number4
StatePublished - Feb 2005

Keywords

  • Motif detection
  • Physicochemical properties
  • Wavelet analysis

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