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A New Efficient Algorithm for the Frequent Gene Team Problem
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A New Efficient Algorithm for the Frequent Gene Team Problem

Biing-Feng Wang
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 卷.15(2), 頁碼.588-598
03/2018

摘要

Algorithms comparative genomics conserved gene clusters data structures gene teams Biotechnology Genetics Applied Mathematics
The focus of this paper is the frequent gene team problem. Given a quorum parameter μ and a set of m genomes, the problem is to find gene teams that occur in at least μ of the given genomes. In this paper, a new algorithm is presented. Previous solutions are efficient only when μ is small. Unlike previous solutions, the presented algorithm does not rely on examining every combination of μ genomes. Its time complexity is independent of μ. Under some realistic assumptions, the practical running time is estimated to be O(m^{2}n^{2}; {mathrm{lg}};n) , where n is the maximum length of the input genomes. Experiments showed that the presented algorithm is extremely efficient. For any μ, it takes less than 1 second to process 100 bacterial genomes and takes only 10 minutes to process 2,000 genomes. The presented algorithm can be used as an effective tool for large scale genome analyses.

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