TY - JOUR AB - Laboratory automation and mathematical optimization are key to improving the efficiency of synthetic biology research.While there are algorithms optimizing the construct designs and synthesis strategies for DNA assembly, the optimizationof how DNA assembly reaction mixes are prepared remains largely unexplored. Here, we focus on reducing the pipettetip consumption of a liquid-handling robot as it delivers DNA parts across a multi-well plate where several constructsare being assembled in parallel. We propose a linear programming formulation of this problem based on the capacitatedvehicle routing problem, as well as an algorithm which applies a linear programming solver to our formulation, henceproviding a strategy to prepare a given set of DNA assembly mixes using fewer pipette tips. The algorithm performedwell in randomly generated and real-life scenarios concerning several modular DNA assembly standards, proving capableof reducing the pipette tip consumption by up to 59% in large-scale cases. Combining automatic process optimizationand robotic liquid-handling, our strategy promises to greatly improve the efficiency of DNA assembly, either used aloneor combined with other algorithmic DNA assembly optimization methods. AU - Sechkar,K AU - Tuza,ZA AU - Stan,G-B DO - synbio/ysac004 EP - 8 PY - 2022/// SN - 2397-7000 SP - 1 TI - A linear programming-based strategy to save pipette tips in automated DNA assembly T2 - Synthetic Biology UR - http://dx.doi.org/10.1093/synbio/ysac004 UR - https://academic.oup.com/synbio/article/7/1/ysac004/6552983 UR - http://hdl.handle.net/10044/1/95959 VL - 7 ER -