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Scaffolding of long read assemblies using long range contact information
BACKGROUND: Long read technologies have revolutionized de novo genome assembly by generating contigs orders of magnitude longer than that of short read assemblies. Although assembly contiguity has increased, it usually does not reconstruct a full chromosome or an arm of the chromosome, resulting in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5508778/ https://www.ncbi.nlm.nih.gov/pubmed/28701198 http://dx.doi.org/10.1186/s12864-017-3879-z |
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author | Ghurye, Jay Pop, Mihai Koren, Sergey Bickhart, Derek Chin, Chen-Shan |
author_facet | Ghurye, Jay Pop, Mihai Koren, Sergey Bickhart, Derek Chin, Chen-Shan |
author_sort | Ghurye, Jay |
collection | PubMed |
description | BACKGROUND: Long read technologies have revolutionized de novo genome assembly by generating contigs orders of magnitude longer than that of short read assemblies. Although assembly contiguity has increased, it usually does not reconstruct a full chromosome or an arm of the chromosome, resulting in an unfinished chromosome level assembly. To increase the contiguity of the assembly to the chromosome level, different strategies are used which exploit long range contact information between chromosomes in the genome. METHODS: We develop a scalable and computationally efficient scaffolding method that can boost the assembly contiguity to a large extent using genome-wide chromatin interaction data such as Hi-C. RESULTS: we demonstrate an algorithm that uses Hi-C data for longer-range scaffolding of de novo long read genome assemblies. We tested our methods on the human and goat genome assemblies. We compare our scaffolds with the scaffolds generated by LACHESIS based on various metrics. CONCLUSION: Our new algorithm SALSA produces more accurate scaffolds compared to the existing state of the art method LACHESIS. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3879-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5508778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55087782017-07-17 Scaffolding of long read assemblies using long range contact information Ghurye, Jay Pop, Mihai Koren, Sergey Bickhart, Derek Chin, Chen-Shan BMC Genomics Methodology Article BACKGROUND: Long read technologies have revolutionized de novo genome assembly by generating contigs orders of magnitude longer than that of short read assemblies. Although assembly contiguity has increased, it usually does not reconstruct a full chromosome or an arm of the chromosome, resulting in an unfinished chromosome level assembly. To increase the contiguity of the assembly to the chromosome level, different strategies are used which exploit long range contact information between chromosomes in the genome. METHODS: We develop a scalable and computationally efficient scaffolding method that can boost the assembly contiguity to a large extent using genome-wide chromatin interaction data such as Hi-C. RESULTS: we demonstrate an algorithm that uses Hi-C data for longer-range scaffolding of de novo long read genome assemblies. We tested our methods on the human and goat genome assemblies. We compare our scaffolds with the scaffolds generated by LACHESIS based on various metrics. CONCLUSION: Our new algorithm SALSA produces more accurate scaffolds compared to the existing state of the art method LACHESIS. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3879-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-12 /pmc/articles/PMC5508778/ /pubmed/28701198 http://dx.doi.org/10.1186/s12864-017-3879-z Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Methodology Article Ghurye, Jay Pop, Mihai Koren, Sergey Bickhart, Derek Chin, Chen-Shan Scaffolding of long read assemblies using long range contact information |
title | Scaffolding of long read assemblies using long range contact information |
title_full | Scaffolding of long read assemblies using long range contact information |
title_fullStr | Scaffolding of long read assemblies using long range contact information |
title_full_unstemmed | Scaffolding of long read assemblies using long range contact information |
title_short | Scaffolding of long read assemblies using long range contact information |
title_sort | scaffolding of long read assemblies using long range contact information |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5508778/ https://www.ncbi.nlm.nih.gov/pubmed/28701198 http://dx.doi.org/10.1186/s12864-017-3879-z |
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