McAN: an ultrafast haplotype network construction algorithm

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The McAN algorithm constructs ultrafast haplotype networks using minimum cost arborescence, considering mutation history, node size, and sampling time, enabling analysis of massive sequence datasets.

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Abstract

Summary Haplotype network is becoming popular due to its increasing use in analyzing genealogical relationships of closely related genomes. We newly proposed McAN, a minimum-cost arborescence based haplotype network construction algorithm, by considering mutation spectrum history (mutations in ancestry haplotype should be contained in descendant haplotype), node size (corresponding to sample count for a given node) and sampling time. McAN is two orders of magnitude faster than the state-of-the-art algorithms, making it suitable for analyzation of massive sequences. Availability Source code is written in C/C++ and available at https://github.com/Theory-Lun/McAN and https://ngdc.cncb.ac.cn/biocode/tools/BT007301 under the MIT license. The online web service of McAN is available at https://ngdc.cncb.ac.cn/ncov/online/tool/haplotype . SARS-CoV-2 dataset are available at https://ngdc.cncb.ac.cn/ncov/ .

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last seen: 2026-05-19T01:45:01.086888+00:00