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Improving ancient DNA genome assembly

Most reconstruction methods for genomes of ancient origin that are used today require a closely related reference. In order to identify genomic rearrangements or the deletion of whole genes, de novo assembly has to be used. However, because of inherent problems with ancient DNA, its de novo assembly...

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Detalles Bibliográficos
Autores principales: Seitz, Alexander, Nieselt, Kay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384568/
https://www.ncbi.nlm.nih.gov/pubmed/28392981
http://dx.doi.org/10.7717/peerj.3126
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author Seitz, Alexander
Nieselt, Kay
author_facet Seitz, Alexander
Nieselt, Kay
author_sort Seitz, Alexander
collection PubMed
description Most reconstruction methods for genomes of ancient origin that are used today require a closely related reference. In order to identify genomic rearrangements or the deletion of whole genes, de novo assembly has to be used. However, because of inherent problems with ancient DNA, its de novo assembly is highly complicated. In order to tackle the diversity in the length of the input reads, we propose a two-layer approach, where multiple assemblies are generated in the first layer, which are then combined in the second layer. We used this two-layer assembly to generate assemblies for two different ancient samples and compared the results to current de novo assembly approaches. We are able to improve the assembly with respect to the length of the contigs and can resolve more repetitive regions.
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spelling pubmed-53845682017-04-07 Improving ancient DNA genome assembly Seitz, Alexander Nieselt, Kay PeerJ Bioinformatics Most reconstruction methods for genomes of ancient origin that are used today require a closely related reference. In order to identify genomic rearrangements or the deletion of whole genes, de novo assembly has to be used. However, because of inherent problems with ancient DNA, its de novo assembly is highly complicated. In order to tackle the diversity in the length of the input reads, we propose a two-layer approach, where multiple assemblies are generated in the first layer, which are then combined in the second layer. We used this two-layer assembly to generate assemblies for two different ancient samples and compared the results to current de novo assembly approaches. We are able to improve the assembly with respect to the length of the contigs and can resolve more repetitive regions. PeerJ Inc. 2017-04-05 /pmc/articles/PMC5384568/ /pubmed/28392981 http://dx.doi.org/10.7717/peerj.3126 Text en ©2017 Seitz and Nieselt 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
Nieselt, Kay
Improving ancient DNA genome assembly
title Improving ancient DNA genome assembly
title_full Improving ancient DNA genome assembly
title_fullStr Improving ancient DNA genome assembly
title_full_unstemmed Improving ancient DNA genome assembly
title_short Improving ancient DNA genome assembly
title_sort improving ancient dna genome assembly
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384568/
https://www.ncbi.nlm.nih.gov/pubmed/28392981
http://dx.doi.org/10.7717/peerj.3126
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