Pattern matching algorithm for artificial to natural DNA codes of a dementia brain

A. F. Shamsudin, M.T. Azhar, F. Salih, H. M. Noon, A. R. Ahlan, M. Suhaimi, Z. Bal-Fagih, N. Ibrahim, F. Mohd. Badri
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引用次数: 1

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.
失智症大脑人工与自然DNA编码的模式匹配算法
在现有的可视化和比对技术中,自然到自然的DNA测序已经达到了很高的精度。本次痴呆脑动物研究采用了基序匹配技术在自然到计算机生成的人工DNA测序。在DNA分析实验室提取痴呆大鼠脑自然DNA序列并进行可视化。人工DNA序列是由脑计算实验室的一款痴呆症脑软件生成的。DNA指纹基序模式匹配的使用在自然-人工DNA测序和自然-自然DNA测序中显示出显着的适应度水平。实验室提取的DNA和计算机生成的DNA之间的匹配将增强大脑计算在预测神经退化(如痴呆)方面的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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