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OMBlast: alignment tool for optical mapping using a seed-and-extend approach

MOTIVATION: Optical mapping is a technique for capturing fluorescent signal patterns of long DNA molecules (in the range of 0.1–1 Mbp). Recently, it has been complementing the widely used short-read sequencing technology by assisting with scaffolding and detecting large and complex structural variat...

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Autores principales: Leung, Alden King-Yung, Kwok, Tsz-Piu, Wan, Raymond, Xiao, Ming, Kwok, Pui-Yan, Yip, Kevin Y, Chan, Ting-Fung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5409310/
https://www.ncbi.nlm.nih.gov/pubmed/28172448
http://dx.doi.org/10.1093/bioinformatics/btw620
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author Leung, Alden King-Yung
Kwok, Tsz-Piu
Wan, Raymond
Xiao, Ming
Kwok, Pui-Yan
Yip, Kevin Y
Chan, Ting-Fung
author_facet Leung, Alden King-Yung
Kwok, Tsz-Piu
Wan, Raymond
Xiao, Ming
Kwok, Pui-Yan
Yip, Kevin Y
Chan, Ting-Fung
author_sort Leung, Alden King-Yung
collection PubMed
description MOTIVATION: Optical mapping is a technique for capturing fluorescent signal patterns of long DNA molecules (in the range of 0.1–1 Mbp). Recently, it has been complementing the widely used short-read sequencing technology by assisting with scaffolding and detecting large and complex structural variations (SVs). Here, we introduce a fast, robust and accurate tool called OMBlast for aligning optical maps, the set of signal locations on the molecules generated from optical mapping. Our method is based on the seed-and-extend approach from sequence alignment, with modifications specific to optical mapping. RESULTS: Experiments with both synthetic and our real data demonstrate that OMBlast has higher accuracy and faster mapping speed than existing alignment methods. Our tool also shows significant improvement when aligning data with SVs. AVAILABILITY AND IMPLEMENTATION: OMBlast is implemented for Java 1.7 and is released under a GPL license. OMBlast can be downloaded from https://github.com/aldenleung/OMBlast and run directly on machines equipped with a Java virtual machine. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online
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spelling pubmed-54093102017-05-03 OMBlast: alignment tool for optical mapping using a seed-and-extend approach Leung, Alden King-Yung Kwok, Tsz-Piu Wan, Raymond Xiao, Ming Kwok, Pui-Yan Yip, Kevin Y Chan, Ting-Fung Bioinformatics Original Papers MOTIVATION: Optical mapping is a technique for capturing fluorescent signal patterns of long DNA molecules (in the range of 0.1–1 Mbp). Recently, it has been complementing the widely used short-read sequencing technology by assisting with scaffolding and detecting large and complex structural variations (SVs). Here, we introduce a fast, robust and accurate tool called OMBlast for aligning optical maps, the set of signal locations on the molecules generated from optical mapping. Our method is based on the seed-and-extend approach from sequence alignment, with modifications specific to optical mapping. RESULTS: Experiments with both synthetic and our real data demonstrate that OMBlast has higher accuracy and faster mapping speed than existing alignment methods. Our tool also shows significant improvement when aligning data with SVs. AVAILABILITY AND IMPLEMENTATION: OMBlast is implemented for Java 1.7 and is released under a GPL license. OMBlast can be downloaded from https://github.com/aldenleung/OMBlast and run directly on machines equipped with a Java virtual machine. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online Oxford University Press 2017-02-01 2016-09-30 /pmc/articles/PMC5409310/ /pubmed/28172448 http://dx.doi.org/10.1093/bioinformatics/btw620 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Papers
Leung, Alden King-Yung
Kwok, Tsz-Piu
Wan, Raymond
Xiao, Ming
Kwok, Pui-Yan
Yip, Kevin Y
Chan, Ting-Fung
OMBlast: alignment tool for optical mapping using a seed-and-extend approach
title OMBlast: alignment tool for optical mapping using a seed-and-extend approach
title_full OMBlast: alignment tool for optical mapping using a seed-and-extend approach
title_fullStr OMBlast: alignment tool for optical mapping using a seed-and-extend approach
title_full_unstemmed OMBlast: alignment tool for optical mapping using a seed-and-extend approach
title_short OMBlast: alignment tool for optical mapping using a seed-and-extend approach
title_sort omblast: alignment tool for optical mapping using a seed-and-extend approach
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5409310/
https://www.ncbi.nlm.nih.gov/pubmed/28172448
http://dx.doi.org/10.1093/bioinformatics/btw620
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