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GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes
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 produce...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488116/ https://www.ncbi.nlm.nih.gov/pubmed/32912315 http://dx.doi.org/10.1186/s13059-020-02154-5 |
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author | Jin, Jian-Jun Yu, Wen-Bin Yang, Jun-Bo Song, Yu dePamphilis, Claude W. Yi, Ting-Shuang Li, De-Zhu |
author_facet | Jin, Jian-Jun Yu, Wen-Bin Yang, Jun-Bo Song, Yu dePamphilis, Claude W. Yi, Ting-Shuang Li, De-Zhu |
author_sort | Jin, Jian-Jun |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-7488116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74881162020-09-15 GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes Jin, Jian-Jun Yu, Wen-Bin Yang, Jun-Bo Song, Yu dePamphilis, Claude W. Yi, Ting-Shuang Li, De-Zhu Genome Biol Software 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). BioMed Central 2020-09-10 /pmc/articles/PMC7488116/ /pubmed/32912315 http://dx.doi.org/10.1186/s13059-020-02154-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Software Jin, Jian-Jun Yu, Wen-Bin Yang, Jun-Bo Song, Yu dePamphilis, Claude W. Yi, Ting-Shuang Li, De-Zhu GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes |
title | GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes |
title_full | GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes |
title_fullStr | GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes |
title_full_unstemmed | GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes |
title_short | GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes |
title_sort | getorganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488116/ https://www.ncbi.nlm.nih.gov/pubmed/32912315 http://dx.doi.org/10.1186/s13059-020-02154-5 |
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