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Fuzzy C-means clustering for DNA computing readout method implemented on LightCycler system

Saaid, M. F. M. and Ibrahim, Zuwairie and Khalid, Marzuki and Sarmin, Nor Haniza and Rose, John A. (2008) Fuzzy C-means clustering for DNA computing readout method implemented on LightCycler system. In: Proceedings of the SICE Annual Conference. Society of Instrument And Control Engineers, Japan, 676 -681. ISBN 978-490776429-6

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Official URL: http://dx.doi.org/10.1109/SICE.2008.4654741


In the previous work, a readout approach for the Hamiltonian Path Problem (HPP) in DNA computing, based on the real-time polymerase chain reaction (PCR) was proposed. Based on this approach, real-time amplification was performed with TaqMan probes, and the TaqMan detection mechanism was exploited for the design and development of the readout approach. The readout approach consists of two steps: real-time amplification in vitro using TaqMan-based real-time PCR followed by information processing in silico to assess the results of real-time amplification, which in turn, enables extraction of the Hamiltonian path. However, the previous method used manual classification of two different output reactions of real-time PCR In this paper, the Fuzzy C-Means (FCM) clustering algorithm is used to automatically identify two different reactions in real-time PCR We show that the FCM clustering technique can be implemented for clustering the output results of the DNA computing readout method based on the LightCycler System.

Item Type:Book Section
Additional Information:ISBN: 978-490776429-6; SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology; Tokyo; 20 August 2008 through 22 August 2008
Uncontrolled Keywords:DNA computing, fuzzy C-means, real-time PCR, taqman probes
Subjects:Q Science > Q Science (General)
Q Science > QA Mathematics
ID Code:12573
Deposited By: Liza Porijo
Deposited On:09 Jun 2011 08:07
Last Modified:09 Jun 2011 08:07

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