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GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes 

 
论文编号:
作者: Jin JJ; Yu WB
刊物名称: Genome Biology
所属学科:
论文题目英文: GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes
年: Sep 2020
卷: 21
期:
页: 241
联系作者: Li DZ; Yi TS
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影响因子: 10.806
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摘要:

GetOrganelle is a state-of-the-art toolkit to accurately assemble organelle genomes from whole genome sequencing data. It recruits organelle-associated reads using a modified “baiting and iterative mapping” approach, conducts de novo assembly, filters and disentangles the assembly graph, and produces all possible configurations of circular organelle genomes. For 50 published plant datasets, we are able to reassemble the circular plastomes from 47 datasets using GetOrganelle. GetOrganelle assemblies are more accurate than published and/or NOVOPlasty-reassembled plastomes as assessed by mapping. We also assemble complete mitochondrial genomes using GetOrganelle. GetOrganelle is freely released under a GPL-3 license (https://github.com/Kinggerm/GetOrganelle).

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