Non-labeled DNA Biosensor Post-Processing Signals Analyses


Keywords: , , , , ,

The evolution of DNA biosensors should match commercial emergency of Nanotechnology in this genomic era. The ubiquitous oligonucleotide microarray ‘lab–on-chip’ is limited by high cost and man-power. However, emerging portable non-label DNA biosensors are yet to establish signal post-processing integrated devices even after optimal surface functionalization. This paper is reviewing current proposed information content post-processing techniques and analysis of non-labeled active platform DNA Biosensor. The periodicities in DNA sequences use the discrete nature of the single-strand and double-strand to provide information content in spectra formulation. The symbolic DNA uses the spectral analysis to categorize functional repeat coding-exon. The coding-exon tracks the popular period-3 component using the DNA spectrum to derive the power spectra density function. We further explored the information content that can be derived in application of Shannon’s theorem pre and post DNA hybridization and applied Huffman-based encoding technique to compress the sequences and enhance encoding domain. The computed cumulative sum provided the relative content of the purines and pyrimidine. Furthermore, we explored the wavelet-based analysis to model the coding regions using parametric spectral modeling methods and propounded the use of these techniques for unknown DNA characterization, prediction, and annotation post-functional hybridization on non-label DNA biosensor.

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Journal: TechConnect Briefs
Volume: 3, Nanotechnology 2010: Bio Sensors, Instruments, Medical, Environment and Energy
Published: June 21, 2010
Pages: 103 - 109
Industry sectors: Medical & Biotech | Sensors, MEMS, Electronics
Topics: Chemical, Physical & Bio-Sensors, Diagnostics & Bioimaging
ISBN: 978-1-4398-3415-2