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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2017
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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. |
format | Online Article Text |
id | pubmed-5521161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
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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