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Computational methods for optical mapping
Optical mapping and newer genome mapping technologies based on nicking enzymes provide low resolution but long-range genomic information. The optical mapping technique has been successfully used for assessing the quality of genome assemblies and for detecting large-scale structural variants and rear...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4323141/ https://www.ncbi.nlm.nih.gov/pubmed/25671093 http://dx.doi.org/10.1186/2047-217X-3-33 |
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author | Mendelowitz, Lee Pop, Mihai |
author_facet | Mendelowitz, Lee Pop, Mihai |
author_sort | Mendelowitz, Lee |
collection | PubMed |
description | Optical mapping and newer genome mapping technologies based on nicking enzymes provide low resolution but long-range genomic information. The optical mapping technique has been successfully used for assessing the quality of genome assemblies and for detecting large-scale structural variants and rearrangements that cannot be detected using current paired end sequencing protocols. Here, we review several algorithms and methods for building consensus optical maps and aligning restriction patterns to a reference map, as well as methods for using optical maps with sequence assemblies. |
format | Online Article Text |
id | pubmed-4323141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43231412015-02-11 Computational methods for optical mapping Mendelowitz, Lee Pop, Mihai Gigascience Review Optical mapping and newer genome mapping technologies based on nicking enzymes provide low resolution but long-range genomic information. The optical mapping technique has been successfully used for assessing the quality of genome assemblies and for detecting large-scale structural variants and rearrangements that cannot be detected using current paired end sequencing protocols. Here, we review several algorithms and methods for building consensus optical maps and aligning restriction patterns to a reference map, as well as methods for using optical maps with sequence assemblies. BioMed Central 2014-12-30 /pmc/articles/PMC4323141/ /pubmed/25671093 http://dx.doi.org/10.1186/2047-217X-3-33 Text en © Mendelowitz and Pop; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. 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, and reproduction in any medium, provided the original work is properly credited. 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 | Review Mendelowitz, Lee Pop, Mihai Computational methods for optical mapping |
title | Computational methods for optical mapping |
title_full | Computational methods for optical mapping |
title_fullStr | Computational methods for optical mapping |
title_full_unstemmed | Computational methods for optical mapping |
title_short | Computational methods for optical mapping |
title_sort | computational methods for optical mapping |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4323141/ https://www.ncbi.nlm.nih.gov/pubmed/25671093 http://dx.doi.org/10.1186/2047-217X-3-33 |
work_keys_str_mv | AT mendelowitzlee computationalmethodsforopticalmapping AT popmihai computationalmethodsforopticalmapping |