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|Title:||Opera: Reconstructing optimal genomic scaffolds with high-throughput paired-end sequences|
|Citation:||Gao, S.,Nagarajan, N.,Sung, W.-K. (2011). Opera: Reconstructing optimal genomic scaffolds with high-throughput paired-end sequences. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6577 LNBI : 437-451. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-20036-6_40|
|Abstract:||Scaffolding, the problem of ordering and orienting contigs, typically using paired-end reads, is a crucial step in the assembly of high-quality draft genomes. Even as sequencing technologies and mate-pair protocols have improved significantly, scaffolding programs still rely on heuristics, with no gaurantees on the quality of the solution. In this work we explored the feasibility of an exact solution for scaffolding and present a first fixed-parameter tractable solution for assembly (Opera). We also describe a graph contraction procedure that allows the solution to scale to large scaffolding problems and demonstrate this by scaffolding several large real and synthetic datasets. In comparisons with existing scaffolders, Opera simultaneously produced longer and more accurate scaffolds demonstrating the utility of an exact approach. Opera also incorporates an exact quadratic programming formulation to precisely compute gap sizes. © 2011 Springer-Verlag.|
|Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Appears in Collections:||Staff Publications|
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