Abstract
Traditionally, methods for detecting junctions considerably rely on the annotation of gene structures. However, ab initio junction detection tools have now become available. Using RNA-Seq data, these tools will find the splice junction sites without annotation of gene structures. The optimum results of using these tools depend on their algorithms. The way to judge the best result is dependent on their algorithms too. In addition, it is hard to verify the results and other candidate splice junction sites independently. In this paper, we introduce our tool, VETic, which can choose results from tools for detecting splice junctions and then search other candidate splice junction sites. This method helps to find other candidate splice junction sites and calculate the reliability of results.
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Kim, S., Park, T., Park, K., Cho, HG. (2011). A Verification Tool for Splice Junction Sites on Whole Genome with Massive Reads. In: Kim, Th., et al. Database Theory and Application, Bio-Science and Bio-Technology. BSBT DTA 2011 2011. Communications in Computer and Information Science, vol 258. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27157-1_20
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DOI: https://doi.org/10.1007/978-3-642-27157-1_20
Publisher Name: Springer, Berlin, Heidelberg
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