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TIDDIT, an efficient and comprehensive structural variant caller for massive parallel sequencing data

Reliable detection of large structural variation ( > 1000 bp) is important in both rare and common genetic disorders. Whole genome sequencing (WGS) is a technology that may be used to identify a large proportion of the genomic structural variants (SVs) in an individual in a single experiment. Eve...

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Autores principales: Eisfeldt, Jesper, Vezzi, Francesco, Olason, Pall, Nilsson, Daniel, Lindstrand, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5521161/
https://www.ncbi.nlm.nih.gov/pubmed/28781756
http://dx.doi.org/10.12688/f1000research.11168.2
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author Eisfeldt, Jesper
Vezzi, Francesco
Olason, Pall
Nilsson, Daniel
Lindstrand, Anna
author_facet Eisfeldt, Jesper
Vezzi, Francesco
Olason, Pall
Nilsson, Daniel
Lindstrand, Anna
author_sort Eisfeldt, Jesper
collection PubMed
description Reliable detection of large structural variation ( > 1000 bp) is important in both rare and common genetic disorders. Whole genome sequencing (WGS) is a technology that may be used to identify a large proportion of the genomic structural variants (SVs) in an individual in a single experiment. Even though SV callers have been extensively used in research to detect mutations, the potential usage of SV callers within routine clinical diagnostics is still limited. One well known, but not well-addressed problem is the large number of benign variants and reference errors present in the human genome that further complicates analysis. Even though there is a wide range of SV-callers available, the number of callers that allow detection of the entire spectra of SV at a low computational cost is still relatively limited.
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spelling pubmed-55211612017-08-04 TIDDIT, an efficient and comprehensive structural variant caller for massive parallel sequencing data Eisfeldt, Jesper Vezzi, Francesco Olason, Pall Nilsson, Daniel Lindstrand, Anna F1000Res Software Tool Article Reliable detection of large structural variation ( > 1000 bp) is important in both rare and common genetic disorders. Whole genome sequencing (WGS) is a technology that may be used to identify a large proportion of the genomic structural variants (SVs) in an individual in a single experiment. Even though SV callers have been extensively used in research to detect mutations, the potential usage of SV callers within routine clinical diagnostics is still limited. One well known, but not well-addressed problem is the large number of benign variants and reference errors present in the human genome that further complicates analysis. Even though there is a wide range of SV-callers available, the number of callers that allow detection of the entire spectra of SV at a low computational cost is still relatively limited. F1000Research 2017-06-30 /pmc/articles/PMC5521161/ /pubmed/28781756 http://dx.doi.org/10.12688/f1000research.11168.2 Text en Copyright: © 2017 Eisfeldt J et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Eisfeldt, Jesper
Vezzi, Francesco
Olason, Pall
Nilsson, Daniel
Lindstrand, Anna
TIDDIT, an efficient and comprehensive structural variant caller for massive parallel sequencing data
title TIDDIT, an efficient and comprehensive structural variant caller for massive parallel sequencing data
title_full TIDDIT, an efficient and comprehensive structural variant caller for massive parallel sequencing data
title_fullStr TIDDIT, an efficient and comprehensive structural variant caller for massive parallel sequencing data
title_full_unstemmed TIDDIT, an efficient and comprehensive structural variant caller for massive parallel sequencing data
title_short TIDDIT, an efficient and comprehensive structural variant caller for massive parallel sequencing data
title_sort tiddit, an efficient and comprehensive structural variant caller for massive parallel sequencing data
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5521161/
https://www.ncbi.nlm.nih.gov/pubmed/28781756
http://dx.doi.org/10.12688/f1000research.11168.2
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