Predicting Variants of Alternative Splicing from NGS data without the Genome
作者： Raffaella Rizzi , Gianluca Della Vedova , Stefano Beretta , Paola Bonizzoni
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摘要: Known approaches to determine the gene structure, due alternative splicing (AS), rely on some forms of spliced alignment transcripts against genomic sequence producing transcripts. Anyway, abundance data arising from next-generation sequencing technologies allows a new approach, proposed in this paper, that does not require any kind genome. We formalize underlying computational problem, proving soundness our approach both theoretical and experimental point view.
arxiv.org参考文章(18)
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