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  ANT: A Novel Heuristic Algorithm for Finding Motif
Titel: ANT: A Novel Heuristic Algorithm for Finding Motif
Auteur: Saifuddin Md. Tareeq
Sumanta Saha
Tohidul Islam
Rumana Quazi
Verschenen in: Information technology journal
Paginering: Jaargang 6 (2007) nr. 2 pagina's 189-195
Jaar: 2007
Inhoud: Motif detection in unaligned DNA sequences is a fundamental problem in molecular biology. In particular, algorithms must be developed for annotating biologically meaningful features in multimegabase DNA sequences either by observing their similarity to known genes, regulatory sites and other features or to conserved copies of the same features in an equally long sequence from another organism. Annotation on such a large scale must be both computationally efficient and sensitive enough to recover subtle but significant features that would otherwise be lost in a mass of unannotated and hence undifferentiated sequence. This study presents an algorithm, named ANT, for biosequence annotation that uses a heuristic function which allows the algorithm to run faster and also allows analysis of very long biological sequences. The result achieved by ANT are better than most of the present motif finding approaches when tested on simulated sample sets with various parameters. The comparison shows the proposed algorithm performs better in finding motif even in twilight zone.
Uitgever: Asian Network for Scientific Information (provided by DOAJ)
Bronbestand: Elektronische Wetenschappelijke Tijdschriften

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