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

Author:

Jin Jian-Jun,Yu Wen-Bin,Yang Jun-Bo,Song Yu,dePamphilis Claude W.,Yi Ting-ShuangORCID,Li De-Zhu

Abstract

AbstractGetOrganelle 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).

Funder

Strategic Priority Research Program of the Chinese Academy of Sciences

National Natural Science Foundation of China

Chinese Academy of Sciences Large-scale Scientific Facilities

the open research project of “Cross-Cooperative Team” of the Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences

CAS 135 Program

Publisher

Springer Science and Business Media LLC

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