• DocumentCode
    244630
  • Title

    The Online Diagnosis System for sanger sequencing based genetic testing

  • Author

    Kun Sun ; Yuet-Ping Yuen ; Huating Wang ; Hao Sun

  • Author_Institution
    Dept. of Chem. Pathology, Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2014
  • fDate
    15-17 Jan. 2014
  • Firstpage
    47
  • Lastpage
    51
  • Abstract
    Sanger sequencing based genetic testing has been well established for many genetic diseases. In these testings, DNA sequencers produce vast amounts of data that need to be interpreted by the clinicians within a short peiod of time. To achieve this goal, a bioinformatics platform that can automates this process is yet to be developed. To fulfill this gap, we developed Online Diagnosis System (ODS), which is implemented as a web server and supports the commonly used ABI trace file format generated from Sanger sequencing. ODS seamlessly integrates useful functions covering base calling, Small Nucleotide Variant (SNV) identification, and comprehensive SNV annotation. It also allows the clinicians to manually inspect the quality of the identified SNVs when generating the final report. ODS can therefore significantly reduce the data analysis time, allowing the completion of the genetic testing in a timely manner.
  • Keywords
    bioinformatics; data analysis; diseases; genetics; sequences; ABI trace file format; DNA sequencers; ODS; Web server; bioinformatics platform; genetic diseases; online diagnosis system; sanger sequencing based genetic testing; small nucleotide variant identification; Bioinformatics; DNA; Data analysis; Genomics; Sequential analysis; Testing; Online Diagnosis System; Sanger sequencing; genetic testing; small nucleotide variation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data and Smart Computing (BIGCOMP), 2014 International Conference on
  • Conference_Location
    Bangkok
  • Type

    conf

  • DOI
    10.1109/BIGCOMP.2014.6741404
  • Filename
    6741404