Design of 2D Genome Visualization Tool for DNA Sequence Analysis


In this paper sequencing of genomic data requires methods to allow this data to be visualized and analyzed. With the emergence of genomic signal processing, graphical representation techniques play a key role in applying digital signal processing techniques like Fourier transforms, and more recently, wavelet transform for visualizing DNA sequence.[2] The choice of the graphical representation technique for a DNA sequence affects how well its biological properties can be reflected in the graphical domain for visualization and analysis of the characteristics of special regions of interest within the DNA sequence. This paper presents a summary of various DNA graphical representation methods and their applications in envisaging and analyzing long DNA sequences. [1] [2]

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@inproceedings{Tripathi2017DesignO2, title={Design of 2D Genome Visualization Tool for DNA Sequence Analysis}, author={Ankita Tripathi and Santosh Mishra and Damian Panasa and Piotr Waz and Dorota Bieli and Ashesh Nandy and Subhash C. Basak and Sai Zou and Lei Wang and Junfeng Wang and Hui Peng and Jinhua Zheng and Chiou-Yi Hor and Chang-Biau Yang and Chia-Hung Chang and Chiou-Ting Tseng and Dorota Bielinska and Wiesław Nowak and Wei-Li Liao and Hsien-Da Huang and Baw-Jhiune Liu and Cheng-Wei Chang and Jorng-Tzong Horng and Li-Ching Wu and Jing Yang and Zhi-xiang Yin and Kai-feng Huang}, year={2017} }