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DACCOR–Detection, characterization, and reconstruction of repetitive regions in bacterial genomes
The reconstruction of genomes using mapping-based approaches with short reads experiences difficulties when resolving repetitive regions. These repetitive regions in genomes result in low mapping qualities of the respective reads, which in turn lead to many unresolved bases. Currently, the reconstru...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983011/ https://www.ncbi.nlm.nih.gov/pubmed/29868249 http://dx.doi.org/10.7717/peerj.4742 |
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author | Seitz, Alexander Hanssen, Friederike Nieselt, Kay |
author_facet | Seitz, Alexander Hanssen, Friederike Nieselt, Kay |
author_sort | Seitz, Alexander |
collection | PubMed |
description | The reconstruction of genomes using mapping-based approaches with short reads experiences difficulties when resolving repetitive regions. These repetitive regions in genomes result in low mapping qualities of the respective reads, which in turn lead to many unresolved bases. Currently, the reconstruction of these regions is often based on modified references in which the repetitive regions are masked. However, for many references, such masked genomes are not available or are based on repetitive regions of other genomes. Our idea is to identify repetitive regions in the reference genome de novo. These regions can then be used to reconstruct them separately using short read sequencing data. Afterward, the reconstructed repetitive sequence can be inserted into the reconstructed genome. We present the program detection, characterization, and reconstruction of repetitive regions, which performs these steps automatically. Our results show an increased base pair resolution of the repetitive regions in the reconstruction of Treponema pallidum samples, resulting in fewer unresolved bases. |
format | Online Article Text |
id | pubmed-5983011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59830112018-06-04 DACCOR–Detection, characterization, and reconstruction of repetitive regions in bacterial genomes Seitz, Alexander Hanssen, Friederike Nieselt, Kay PeerJ Bioinformatics The reconstruction of genomes using mapping-based approaches with short reads experiences difficulties when resolving repetitive regions. These repetitive regions in genomes result in low mapping qualities of the respective reads, which in turn lead to many unresolved bases. Currently, the reconstruction of these regions is often based on modified references in which the repetitive regions are masked. However, for many references, such masked genomes are not available or are based on repetitive regions of other genomes. Our idea is to identify repetitive regions in the reference genome de novo. These regions can then be used to reconstruct them separately using short read sequencing data. Afterward, the reconstructed repetitive sequence can be inserted into the reconstructed genome. We present the program detection, characterization, and reconstruction of repetitive regions, which performs these steps automatically. Our results show an increased base pair resolution of the repetitive regions in the reconstruction of Treponema pallidum samples, resulting in fewer unresolved bases. PeerJ Inc. 2018-05-29 /pmc/articles/PMC5983011/ /pubmed/29868249 http://dx.doi.org/10.7717/peerj.4742 Text en © 2018 Seitz et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Seitz, Alexander Hanssen, Friederike Nieselt, Kay DACCOR–Detection, characterization, and reconstruction of repetitive regions in bacterial genomes |
title | DACCOR–Detection, characterization, and reconstruction of repetitive regions in bacterial genomes |
title_full | DACCOR–Detection, characterization, and reconstruction of repetitive regions in bacterial genomes |
title_fullStr | DACCOR–Detection, characterization, and reconstruction of repetitive regions in bacterial genomes |
title_full_unstemmed | DACCOR–Detection, characterization, and reconstruction of repetitive regions in bacterial genomes |
title_short | DACCOR–Detection, characterization, and reconstruction of repetitive regions in bacterial genomes |
title_sort | daccor–detection, characterization, and reconstruction of repetitive regions in bacterial genomes |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983011/ https://www.ncbi.nlm.nih.gov/pubmed/29868249 http://dx.doi.org/10.7717/peerj.4742 |
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