Weighting for DNA profiling

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Identification of individual STR-based individuals is required for the investigation of Disaster Victim Identification and other applications. The DNA identification of an individual with the DNA of both biological parents, father, and mother, would result in a perfect match value, but what if the biological parents of the individual had died. In this research, we proposed a method of identifying DNA against an individual if one or both of the individual parents were absent, so it was necessary to match the individual DNA profiles with DNA profiles of existing family members. The conclusions from the results of individual DNA matching with DNA of family members were proposed using fuzzy inference system with weighted suggestion according to familial closeness.

Original languageEnglish
Title of host publicationProceedings of 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017
PublisherAssociation for Computing Machinery
Pages23-26
Number of pages4
ISBN (Electronic)9781450352840
DOIs
Publication statusPublished - 10 Aug 2017
Event2017 International Conference on Algorithms, Computing and Systems, ICACS 2017 - Jeju Island, Korea, Republic of
Duration: 10 Aug 201713 Aug 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F132084

Conference

Conference2017 International Conference on Algorithms, Computing and Systems, ICACS 2017
CountryKorea, Republic of
CityJeju Island
Period10/08/1713/08/17

Keywords

  • DNA Profile
  • Fuzzy inference
  • Similarity
  • STR-DNA
  • Weight

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  • Cite this

    Anggreainy, M. S., Widyanto, M. R., & Widjaja, B. H. (2017). Weighting for DNA profiling. In Proceedings of 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017 (pp. 23-26). (ACM International Conference Proceeding Series; Vol. Part F132084). Association for Computing Machinery. https://doi.org/10.1145/3127942.3127960