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...
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Veröffentlicht in: | PeerJ (San Francisco, CA) CA), 2018-05, Vol.6, p.e4742-e4742, Article e4742 |
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Sprache: | eng |
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Zusammenfassung: | 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
samples, resulting in fewer unresolved bases. |
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ISSN: | 2167-8359 2167-8359 |
DOI: | 10.7717/peerj.4742 |