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Details for article 4 of 8 found articles
| Title: |
CMDWave: Conserved Motifs Detection Using Wavelets |
| Author: |
Tariq Riaz Kuo-Bin Li Francis Tang Arun Krishnan |
| Appeared in: |
In silico biology |
| Paging: | Volume 5 (2005) nr. 4 pages 415-418 |
| Year: |
2005-10-24 |
| Contents: |
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. |
| Publisher: |
IOS Press |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 4 of 8 found articles
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