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Dept Comp Sci & Comp Eng
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La Trobe University
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Research Publications - Abstract
Department of Computer Science & Computer Engineering
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Wang, D., and Lee, N.K. |
| Publication Year: |
2009 |
| Paper Title: |
MISCORE: Mismatch-Based Matrix Similarity Scores for DNA Motif Detection |
| Conference Name: |
15th International Conference on Neural Information Processing, ICONIP 2008 |
| Venue: |
Aukland, New Zealand |
| Volume: |
LNCS 5506, Part I, 2009 |
| Pages: |
478 - 485 |
| Abstract: |
To detect or discover motifs in DNA sequences, two important concepts related to existing computational approaches are motif model and similarity score. One of motif models, represented by a position frequency matrix (PFM), has been widely employed to search for putative motifs. Detection and discovery of motifs can be done by comparing kmers with a motif model, or clustering kmers according to some criteria. In the past, information content based similarity scores have been widely used in searching tools. In this paper, we present a mismatch-based matrix similarity score (namely, MISCORE) for motif searching and discovering purpose. The proposed MISCORE can be biologically interpreted as an evolutionary metric for predicting a kmer as a motif member or not. Weighting factors, which are meaningful for biological data mining practice, are introduced in the MISCORE. The effectiveness of the MISCORE is investigated through exploring its separability, recognizability and robustness. Three well-known information content-based matrix similarity scores are compared, and results show that our MISCORE works well.
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