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
Link To Document :
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