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Design of 2D Genome Visualization Tool for DNA Sequence Analysis

by Ankita Tripathi, Santosh Mishra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 163 - Number 5
Year of Publication: 2017
Authors: Ankita Tripathi, Santosh Mishra
10.5120/ijca2017913525

Ankita Tripathi, Santosh Mishra . Design of 2D Genome Visualization Tool for DNA Sequence Analysis. International Journal of Computer Applications. 163, 5 ( Apr 2017), 16-19. DOI=10.5120/ijca2017913525

@article{ 10.5120/ijca2017913525,
author = { Ankita Tripathi, Santosh Mishra },
title = { Design of 2D Genome Visualization Tool for DNA Sequence Analysis },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 163 },
number = { 5 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 16-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume163/number5/27391-2017913525/ },
doi = { 10.5120/ijca2017913525 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:09:21.074689+05:30
%A Ankita Tripathi
%A Santosh Mishra
%T Design of 2D Genome Visualization Tool for DNA Sequence Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 163
%N 5
%P 16-19
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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]

References
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Index Terms

Computer Science
Information Sciences

Keywords

Genomes Nucleotides DNA sequence Biology

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