Unknown

Dataset Information

0

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


ABSTRACT: 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 ).

SUBMITTER: Jin JJ 

PROVIDER: S-EPMC7488116 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Jin Jian-Jun JJ   Yu Wen-Bin WB   Yang Jun-Bo JB   Song Yu Y   dePamphilis Claude W CW   Yi Ting-Shuang TS   Li De-Zhu DZ  

Genome biology 20200910 1


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 assembl  ...[more]

Similar Datasets

| S-EPMC4495290 | biostudies-literature
| S-EPMC5389512 | biostudies-literature
| S-EPMC5570176 | biostudies-literature
| S-EPMC5411768 | biostudies-literature
| S-EPMC7483855 | biostudies-literature
| S-EPMC5100563 | biostudies-literature
| S-EPMC2045152 | biostudies-literature
| S-EPMC3767511 | biostudies-literature
| S-EPMC8417280 | biostudies-literature
| S-EPMC8590762 | biostudies-literature