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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2014 Vol.2(2): 167-171 ISSN: 2301-3559
DOI: 10.7763/LNSE.2014.V2.116

Improved Algorithms for Data Visualization in Forensic DNA Analysis

Noor Maizura Mohamad Noor, Mohd Iqbal Hakim Harun, and Ahmad Faiz Ghazali
Abstract—DNA profiles from forensic evidence have contributed significantly in criminal investigations. DNA profiles can be developed using several techniques including Short Tandem Repeat (STR) analysis. The algorithm for data visualization in forensic DNA analysis will be employed into a series of formulas by using a mathematical model that will be represented by a graphical model. By applying visualization, it can increase the value of using linear planning charts which, when combined with images pertaining to the distribution of resource usage in time and space, permits additional insights on the quality of a schedule to be glean.

Index Terms—Data visualization, DNA, statistical analysis.

Noor Maizura Mohamad Noor, Mohd Iqbal Hakim Bin Harun and Ahmad Faiz Ghazali are with University Malaysia Terengganu, 21300 University Malaysia Terengganu (UMT),Terengganu, Malaysia (email: maizura@umt.edu.my,maizuraumt@gmail.com).


Cite: Noor Maizura Mohamad Noor, Mohd Iqbal Hakim Harun, and Ahmad Faiz Ghazali, "Improved Algorithms for Data Visualization in Forensic DNA Analysis," Lecture Notes on Software Engineering vol. 2, no. 2, pp. 167-171, 2014.

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