Smart Societies, Infrastructure, Technologies and Applications. First International Conference, SCITA 2017, Jeddah, Saudi Arabia, November 27–29, 2017, Proceedings

Research Article

DNA Profiling Methods and Tools: A Review

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  • @INPROCEEDINGS{10.1007/978-3-319-94180-6_22,
        author={Emad Alamoudi and Rashid Mehmood and Aiiad Albeshri and Takashi Gojobori},
        title={DNA Profiling Methods and Tools: A Review},
        proceedings={Smart Societies, Infrastructure, Technologies and Applications. First International Conference, SCITA 2017, Jeddah, Saudi Arabia, November 27--29, 2017, Proceedings},
        proceedings_a={SCITA},
        year={2018},
        month={7},
        keywords={DNA profiling Bioinformatics Forensic science Likelihood computations High-performance computing},
        doi={10.1007/978-3-319-94180-6_22}
    }
    
  • Emad Alamoudi
    Rashid Mehmood
    Aiiad Albeshri
    Takashi Gojobori
    Year: 2018
    DNA Profiling Methods and Tools: A Review
    SCITA
    Springer
    DOI: 10.1007/978-3-319-94180-6_22
Emad Alamoudi1,*, Rashid Mehmood1,*, Aiiad Albeshri1,*, Takashi Gojobori2,*
  • 1: King Abdulaziz University
  • 2: King Abdullah University of Science and Technology (KAUST)
*Contact email: ealamoodi0003@stu.kau.edu.sa, RMehmood@kau.edu.sa, aaalbeshri@kau.edu.sa, Takashi.Gojobori@kaust.edu.sa

Abstract

DNA typing or profiling is a widely used practice in various forensic laboratories, used, for example, in sexual assault cases when the source of DNA mixture can combine different individuals such as the victim, the criminal, and the victim’s partner. DNA typing is considered one of the hardest problem in the forensic science domain, and it is an active area of research. The computational complexity of DNA typing increases significantly with the number of unknowns in the mixture. Different methods have been developed and implemented to address this problem. However, its computational complexity has been the major deterring factor holding its advancements and applications. In this paper, we review DNA profiling methods and tools with a particular focus on their computational performance and accuracy. Faster interpretations of DNA mixtures with a large number of unknowns and higher accuracies are expected to open up new frontiers for this area.