Evidence map›Paper›PMID 32912315›Full record

ArticleGenome biology2020

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

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

Abstract readEvaluation Study
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2,496 papers.

0numbers the graph read from it
0cells of the map it votes in
2,496citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2,496 citing papers in PubMed.

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  14. Complete Chloroplast Genomes of FiveEcology and evolution · 2026
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  15. Mitochondrial Genome Characteristics ofEcology and evolution · 2026
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2,436 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jian-Jun JinGermplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China.
Wen-Bin YuCenter for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, 666303, China.
Jun-Bo YangGermplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China.
Yu SongCenter for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, 666303, China.
Claude W dePamphilisDepartment of Biology, The Pennsylvania State University, University Park, PA, 16801, USA.
Ting-Shuang YiGermplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China. tingshuangyi@mail.kib.ac.cn.ORCID 0000-0001-7093-9564
De-Zhu LiGermplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China. dzl@mail.kib.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 ).

Indexed as

Genome, MitochondrialGenome, PlantGenome, PlastidSoftwareGenomicsAssemblerAssembly graphMitogenomeOrganelle genomePlastome

Identifiers

PMID32912315
PMCPMC7488116

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.