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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...

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Detalles Bibliográficos
Autores principales: Mendelowitz, Lee, Pop, Mihai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
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
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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.
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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
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