Preprocessing and signal processing techniques on genomic data sequences

The demand for genomic signal processing is growing drastically due to the importance of human genetics and allied sciences. This paper exemplify the genomic signal processing through handling gene data sequence from gene data bank, converting them in to sequences, transforming them in to frequency domain, spectrogram visualization and analysis in detail. The frequency domain conversion from the time domain gene sequence is carried out using Goertzel algorithm instead of conventional fast Fourier transform (FFT). This algorithm requires only few resources as compared to the conventional FFT method. The spectrogram of the patients who are affected with Ebola virus is also plotted for further analysis. This would produce the power spectrum (y-axis) versus the time (x-axis) results. All simulation results are obtained using Matlab and Simulink software tools.

[1]  P. P. Va,et al.  Digital filters for gene prediction applications , 2002 .

[2]  P. P. Vaidyanathan,et al.  The role of signal-processing concepts in genomics and proteomics , 2004, J. Frankl. Inst..

[3]  Dimitris Anastassiou,et al.  Genomic signal processing , 2001, IEEE Signal Process. Mag..

[4]  V. Elamaran,et al.  FPGA Implementation of Audio Enhancement using Xilinx System Generator , 2014 .

[5]  V. Elamaran,et al.  FPGA IMPLEMENTATION OF POINT PROCESSES USING XILINX SYSTEM GENERATOR , 2012 .

[6]  P. Vaidyanathan.  Genomics and proteomics: a signal processor's tour , 2004, IEEE Circuits and Systems Magazine.

[7]  Mark M. Owen,et al.  Practical Signal Processing , 2007 .

[8]  John L. Semmlow,et al.  Biosignal and Medical Image Processing , 2004 .

[9]  Emmanuel Ifeachor,et al.  Digital Signal Processing: A Practical Approach , 1993 .

[10]  V. Elamaran,et al.  A tutorial review on discrete fourier transform with data compression application , 2014, 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE).

[11]  Rachid Beguenane,et al.  Design of high-performance parallelized gene predictors in MATLAB , 2012, BMC Research Notes.

[12]  V. Elamaran,et al.  FPGA Implementation of Spatial Image Filters using Xilinx System Generator , 2012 .

[13]  Sabrina Hirsch,et al.  Digital Signal Processing A Computer Based Approach , 2016 .

[14]  Paolo Prandoni,et al.  Signal Processing for Communications , 2008, Communication and information sciences.

[15]  John G. Proakis,et al.  Digital Signal Processing: Principles, Algorithms, and Applications , 1992 .