Global Optimization Methods for Genome Scaffolding
Résumé
We develop a method for solving genome scaffolding as a problem of finding a long simple path in a graph defined by the contigs that satisfies additional constraints encoding the insert-size information. Then we solve the resulting mixed integer linear program to optimality using the Gurobi solver. We test our algorithm on several chloroplast genomes and show that it is fast and outperforms other widely-used assembly algorithms by the accuracy of the results.
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