• DocumentCode
    1882490
  • Title

    Sherlock´s Toolkit: A forensic DNA analysis system

  • Author

    Ricke, D. ; Shcherbina, A. ; Chiu, N. ; Schwoebel, E. ; Harper, J. ; Petrovick, M. ; Boettcher, T. ; Zook, C. ; Bobrow, J. ; Wack, E.

  • Author_Institution
    Bioeng. Syst. & Technol. Group, MIT Lincoln Lab., Lexington, MA, USA
  • fYear
    2015
  • fDate
    14-16 April 2015
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    DNA sequence analysis has multiple forensic applications. The justice system currently uses sizes of STRs as well as mitochondrial DNA (mtDNA) for DNA evidence. With recent advancements in DNA sequencing technologies, inclusion of additional polymorphic loci, including SNPs, enable new useful analyses while maintaining backwards compatibility with STR sizing. Sherlock´s Toolkit, developed by MIT Lincoln Laboratory, is an open source, scalable system for the integration and automation of STR and SNP-based analysis for high-throughput sequence data. The toolkit includes modules for a range of kinship, biogeographic ancestry, replicate, and mixture analyses.
  • Keywords
    DNA; bioinformatics; forensic science; public domain software; DNA evidence; DNA sequence analysis; DNA sequencing technologies; SNP-based analysis; STR sizing; Sherlock Toolkit; backwards compatibility; biogeographic ancestry; forensic DNA analysis system; forensic applications; high-throughput sequence data; justice system; kinship; mitochondrial DNA; mixture analyses; mtDNA; open source scalable system; polymorphic loci; replicate analyses; Algorithm design and analysis; DNA; Forensics; Sequential analysis; Sociology; Statistics; Support vector machines; DNA mixture; Forensics; SNP; biogeographic ancestry; kinship;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technologies for Homeland Security (HST), 2015 IEEE International Symposium on
  • Conference_Location
    Waltham, MA
  • Print_ISBN
    978-1-4799-1736-5
  • Type

    conf

  • DOI
    10.1109/THS.2015.7225306
  • Filename
    7225306