Title :
Pattern matching algorithm for artificial to natural DNA codes of a dementia brain
Author :
Shamsudin, A.F. ; Azhar, M.T. ; Salih, F. ; Noon, H.M. ; Ahlan, Abd Rahman ; Suhaimi, Mohd Adam ; Bal-Fagih, Z. ; Ibrahim, Niko ; Mohd. Badri, F.
Author_Institution :
Kulliyyah Inf. & Commun. Technol., Kuala Lumpur
Abstract :
Natural to natural DNA sequencing has achieved high degree of accuracies in existing visualization and alignment techniques. This dementia brain research on animals used motif matching techniques in the natural to computer generated artificial DNA sequencing. The natural DNA sequence of dementia brain in a rat was extracted and visualized at the DNA analytical laboratory. The artificial DNA sequences are generated by a dementia-brain software at the brain-computing laboratory. The use of DNA thumbprint motif pattern matching showed significant levels of fitness in the natural-to-artificial as in the natural-to-natural DNA sequencing. The matching between the laboratory extracted DNA and the computer generated DNA will enhance the use of brain-computing in predicting neural degradation such as dementia.
Keywords :
DNA; biology computing; brain; data visualisation; pattern matching; DNA thumbprint motif pattern matching; alignment techniques; animals; artificial DNA codes; brain-computing laboratory; computer generated artificial DNA sequencing; dementia brain; dementia-brain software; motif matching; natural DNA codes; natural DNA sequencing; visualization techniques; Alzheimer´s disease; Clustering algorithms; DNA computing; Dementia; Genetics; Humans; Laboratories; Neurons; Pattern matching; Sequences;
Conference_Titel :
Computer and Communication Engineering, 2008. ICCCE 2008. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-1691-2
Electronic_ISBN :
978-1-4244-1692-9
DOI :
10.1109/ICCCE.2008.4580565
