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Image processing for optical mapping

Optical Mapping is an established single-molecule, whole-genome analysis system, which has been used to gain a comprehensive understanding of genomic structure and to study structural variation of complex genomes. A critical component of Optical Mapping system is the image processing module, which e...

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Detalles Bibliográficos
Autores principales: Ravindran, Prabu, Gupta, Aditya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4662010/
https://www.ncbi.nlm.nih.gov/pubmed/26617984
http://dx.doi.org/10.1186/s13742-015-0096-z
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author Ravindran, Prabu
Gupta, Aditya
author_facet Ravindran, Prabu
Gupta, Aditya
author_sort Ravindran, Prabu
collection PubMed
description Optical Mapping is an established single-molecule, whole-genome analysis system, which has been used to gain a comprehensive understanding of genomic structure and to study structural variation of complex genomes. A critical component of Optical Mapping system is the image processing module, which extracts single molecule restriction maps from image datasets of immobilized, restriction digested and fluorescently stained large DNA molecules. In this review, we describe robust and efficient image processing techniques to process these massive datasets and extract accurate restriction maps in the presence of noise, ambiguity and confounding artifacts. We also highlight a few applications of the Optical Mapping system.
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spelling pubmed-46620102015-11-28 Image processing for optical mapping Ravindran, Prabu Gupta, Aditya Gigascience Review Optical Mapping is an established single-molecule, whole-genome analysis system, which has been used to gain a comprehensive understanding of genomic structure and to study structural variation of complex genomes. A critical component of Optical Mapping system is the image processing module, which extracts single molecule restriction maps from image datasets of immobilized, restriction digested and fluorescently stained large DNA molecules. In this review, we describe robust and efficient image processing techniques to process these massive datasets and extract accurate restriction maps in the presence of noise, ambiguity and confounding artifacts. We also highlight a few applications of the Optical Mapping system. BioMed Central 2015-11-26 /pmc/articles/PMC4662010/ /pubmed/26617984 http://dx.doi.org/10.1186/s13742-015-0096-z Text en © Ravindran and Gupta. 2015 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 Review
Ravindran, Prabu
Gupta, Aditya
Image processing for optical mapping
title Image processing for optical mapping
title_full Image processing for optical mapping
title_fullStr Image processing for optical mapping
title_full_unstemmed Image processing for optical mapping
title_short Image processing for optical mapping
title_sort image processing for optical mapping
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4662010/
https://www.ncbi.nlm.nih.gov/pubmed/26617984
http://dx.doi.org/10.1186/s13742-015-0096-z
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