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However, choosing DCs for sets of sequences that covary at numerous jobs dramatically advances the difficulty of designing a DC library and leads to the development of numerous undesired alternatives that can quickly outstrip testing capability. RESULTS We introduce a novel algorithm for total DC collection optimization, DeCoDe, centered on integer linear programming. DeCoDe substantially outperforms state-of-the-art DC optimization algorithms and scales well to a lot more than one hundred

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