Abstract
Recently, the scaffold filling problem has attracted a lot of attention due to its potential applications in processing incomplete genomic data. However, almost all the current research assumes that a scaffold is given as an incomplete sequence (i.e., missing genes can be inserted anywhere in the incomplete sequence). This differs significantly from most of the real genomic dataset, where a scaffold is given as a sequence of contigs. We show in this paper that when a scaffold is given as a sequence of contigs, and when the genome contains no duplication of genes, the corresponding scaffold filling problem, with the objective being maximizing the number of adjacencies between the filled scaffold and a complete reference genome, is polynomially solvable.
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Acknowledgments
This research is partially supported by NSF of China under project 61628207, by the Foundation for Outstanding Young Scientists in Shandong Province (project no. BS2014DX017), by the Doctoral Foundation of Shandong Jianzhu University, and by the China Scholarship Council. We also thank anonymous reviewers for several useful comments.
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Liu, N., Zou, P., Zhu, B. (2016). A Polynomial Time Solution for Permutation Scaffold Filling. In: Chan, TH., Li, M., Wang, L. (eds) Combinatorial Optimization and Applications. COCOA 2016. Lecture Notes in Computer Science(), vol 10043. Springer, Cham. https://doi.org/10.1007/978-3-319-48749-6_60
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DOI: https://doi.org/10.1007/978-3-319-48749-6_60
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