Detection of novel tandem duplication with next-generation sequencing

Xuan Liu, Shing Wan Choi, Thomas K.F. Wong, Tak Wah Lam, Siu Ming Yiu*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Detection of structural variations is an important problem. With the next generation sequencing technology, it is relatively easier to obtain a set of paired-end short reads from an individual (the donor). By aligning these reads onto a reference genome (the reference), we are able to detect some of the structural variations that exist between the donor and the reference. A number of tools were developed in this direction. However, these tools are not able to detect all types of variations. In particular, they do not perform well for the detection of tandem duplications which are found to be associated with some diseases. In this paper, we try to solve this problem and developed algorithm to identify novel tandem duplications that exist in donor and vice versa. Experimental results on both simulated and real datasets showed that our solutions are effective.

    Original languageEnglish
    Title of host publication2011 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, BCB 2011
    Pages415-419
    Number of pages5
    DOIs
    Publication statusPublished - 2011
    Event2011 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, ACM-BCB 2011 - Chicago, IL, United States
    Duration: 1 Aug 20113 Aug 2011

    Publication series

    Name2011 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, BCB 2011

    Conference

    Conference2011 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, ACM-BCB 2011
    Country/TerritoryUnited States
    CityChicago, IL
    Period1/08/113/08/11

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