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Interval scheduling maximizing minimum coverage

机译:间隔调度最大化最小覆盖范围

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Abstract In the classical interval scheduling type of problems, a set of n jobs, characterized by their start and end time, needs to be executed by a set of machines, under various constraints. In this paper we study a new variant in which the jobs need to be assigned to at most k identical machines, such that the minimum number of machines that are busy at the same time is maximized. This is relevant in the context of genome sequencing and haplotyping, specifically when a set of DNA reads aligned to a genome needs to be pruned so that no more than k reads overlap, while maintaining as much read coverage as possible across the entire genome. We show that the problem can be solved in time min O (
机译:<![cdata [ Abstract 在经典间隔调度类型的问题中,一组 n 作业,在他们的开始和结束时间的特征,需要在各种约束下由一组机器执行。在本文中,我们研究了一个新的变体,其中工作需要在大多数 k 相同的机器,使得忙碌的最小机器数量同一时间最大化。这在基因组测序和单倍型的背景下是相关的,特别是当需要修剪与基因组对齐的一组DNA读取时,使得不超过 k 读重叠,同时在整个基因组中保持尽可能多的读取覆盖。我们表明问题可以及时解决 min o

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