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MST Based Ab Initio Assembler of Expressed Sequence Tags

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2010, Master of Computer Science, Miami University, Computer Science and Systems Analysis.
In the thesis we present a new algorithm for the assembly of ESTs based on a minimum spanning tree construction. By representing the EST input as a graph, quickly assigning edge weights with a new distance heuristic for detecting edge overlap, and calculating a minimum spanning tree, we find that we can use a quick transversal of this tree to accurately order the EST set, filter out extraneous ESTs, correct errors and infer the actual transcript sequence from which the set was generated. Implementing this into a software tool, we find that our tool gives us results better than CAP3, the leading EST assembly tool in the literature. In this paper we will explain the EST assembly problem, outline the assembly algorithm, and present a quantitative comparison against the results of CAP3.
John Karro, PhD (Advisor)
Mufit Ozden, PhD (Committee Member)
Chun Liang, PhD (Committee Member)
48 p.

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Citations

  • Zhang, Y. (2010). MST Based Ab Initio Assembler of Expressed Sequence Tags [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1273245641

    APA Style (7th edition)

  • Zhang, Yuan. MST Based Ab Initio Assembler of Expressed Sequence Tags. 2010. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1273245641.

    MLA Style (8th edition)

  • Zhang, Yuan. "MST Based Ab Initio Assembler of Expressed Sequence Tags." Master's thesis, Miami University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=miami1273245641

    Chicago Manual of Style (17th edition)