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DELLY: structural variant discovery by integrated paired-end and split-read analysis
Motivation: The discovery of genomic structural variants (SVs) at high sensitivity and specificity is an essential requirement for characterizing naturally occurring variation and for understanding pathological somatic rearrangements in personal genome sequencing data. Of particular interest are int...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436805/ https://www.ncbi.nlm.nih.gov/pubmed/22962449 http://dx.doi.org/10.1093/bioinformatics/bts378 |
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author | Rausch, Tobias Zichner, Thomas Schlattl, Andreas Stütz, Adrian M. Benes, Vladimir Korbel, Jan O. |
author_facet | Rausch, Tobias Zichner, Thomas Schlattl, Andreas Stütz, Adrian M. Benes, Vladimir Korbel, Jan O. |
author_sort | Rausch, Tobias |
collection | PubMed |
description | Motivation: The discovery of genomic structural variants (SVs) at high sensitivity and specificity is an essential requirement for characterizing naturally occurring variation and for understanding pathological somatic rearrangements in personal genome sequencing data. Of particular interest are integrated methods that accurately identify simple and complex rearrangements in heterogeneous sequencing datasets at single-nucleotide resolution, as an optimal basis for investigating the formation mechanisms and functional consequences of SVs. Results: We have developed an SV discovery method, called DELLY, that integrates short insert paired-ends, long-range mate-pairs and split-read alignments to accurately delineate genomic rearrangements at single-nucleotide resolution. DELLY is suitable for detecting copy-number variable deletion and tandem duplication events as well as balanced rearrangements such as inversions or reciprocal translocations. DELLY, thus, enables to ascertain the full spectrum of genomic rearrangements, including complex events. On simulated data, DELLY compares favorably to other SV prediction methods across a wide range of sequencing parameters. On real data, DELLY reliably uncovers SVs from the 1000 Genomes Project and cancer genomes, and validation experiments of randomly selected deletion loci show a high specificity. Availability: DELLY is available at www.korbel.embl.de/software.html Contact: tobias.rausch@embl.de |
format | Online Article Text |
id | pubmed-3436805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-34368052012-12-12 DELLY: structural variant discovery by integrated paired-end and split-read analysis Rausch, Tobias Zichner, Thomas Schlattl, Andreas Stütz, Adrian M. Benes, Vladimir Korbel, Jan O. Bioinformatics Original Papers Motivation: The discovery of genomic structural variants (SVs) at high sensitivity and specificity is an essential requirement for characterizing naturally occurring variation and for understanding pathological somatic rearrangements in personal genome sequencing data. Of particular interest are integrated methods that accurately identify simple and complex rearrangements in heterogeneous sequencing datasets at single-nucleotide resolution, as an optimal basis for investigating the formation mechanisms and functional consequences of SVs. Results: We have developed an SV discovery method, called DELLY, that integrates short insert paired-ends, long-range mate-pairs and split-read alignments to accurately delineate genomic rearrangements at single-nucleotide resolution. DELLY is suitable for detecting copy-number variable deletion and tandem duplication events as well as balanced rearrangements such as inversions or reciprocal translocations. DELLY, thus, enables to ascertain the full spectrum of genomic rearrangements, including complex events. On simulated data, DELLY compares favorably to other SV prediction methods across a wide range of sequencing parameters. On real data, DELLY reliably uncovers SVs from the 1000 Genomes Project and cancer genomes, and validation experiments of randomly selected deletion loci show a high specificity. Availability: DELLY is available at www.korbel.embl.de/software.html Contact: tobias.rausch@embl.de Oxford University Press 2012-09-15 2012-09-03 /pmc/articles/PMC3436805/ /pubmed/22962449 http://dx.doi.org/10.1093/bioinformatics/bts378 Text en © The Author(s) (2012). Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Rausch, Tobias Zichner, Thomas Schlattl, Andreas Stütz, Adrian M. Benes, Vladimir Korbel, Jan O. DELLY: structural variant discovery by integrated paired-end and split-read analysis |
title | DELLY: structural variant discovery by integrated paired-end and split-read analysis |
title_full | DELLY: structural variant discovery by integrated paired-end and split-read analysis |
title_fullStr | DELLY: structural variant discovery by integrated paired-end and split-read analysis |
title_full_unstemmed | DELLY: structural variant discovery by integrated paired-end and split-read analysis |
title_short | DELLY: structural variant discovery by integrated paired-end and split-read analysis |
title_sort | delly: structural variant discovery by integrated paired-end and split-read analysis |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436805/ https://www.ncbi.nlm.nih.gov/pubmed/22962449 http://dx.doi.org/10.1093/bioinformatics/bts378 |
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