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The AnnotSV webserver in 2023: updated visualization and ranking
Much of the human genetics variant repertoire is composed of single nucleotide variants (SNV) and small insertion/deletions (indel) but structural variants (SV) remain a major part of our modified DNA. SV detection has often been a complex question to answer either because of the necessity to use di...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320077/ https://www.ncbi.nlm.nih.gov/pubmed/37216590 http://dx.doi.org/10.1093/nar/gkad426 |
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author | Geoffroy, Véronique Lamouche, Jean-Baptiste Guignard, Thomas Nicaise, Samuel Kress, Arnaud Scheidecker, Sophie Le Béchec, Antony Muller, Jean |
author_facet | Geoffroy, Véronique Lamouche, Jean-Baptiste Guignard, Thomas Nicaise, Samuel Kress, Arnaud Scheidecker, Sophie Le Béchec, Antony Muller, Jean |
author_sort | Geoffroy, Véronique |
collection | PubMed |
description | Much of the human genetics variant repertoire is composed of single nucleotide variants (SNV) and small insertion/deletions (indel) but structural variants (SV) remain a major part of our modified DNA. SV detection has often been a complex question to answer either because of the necessity to use different technologies (array CGH, SNP array, Karyotype, Optical Genome Mapping…) to detect each category of SV or to get an appropriate resolution (Whole Genome Sequencing). Thanks to the deluge of pangenomic analysis, Human geneticists are accumulating SV and their interpretation remains time consuming and challenging. The AnnotSV webserver (https://www.lbgi.fr/AnnotSV/) aims at being an efficient tool to (i) annotate and interpret SV potential pathogenicity in the context of human diseases, (ii) recognize potential false positive variants from all the SV identified and (iii) visualize the patient variants repertoire. The most recent developments in the AnnotSV webserver are: (i) updated annotations sources and ranking, (ii) three novel output formats to allow diverse utilization (analysis, pipelines), as well as (iii) two novel user interfaces including an interactive circos view. |
format | Online Article Text |
id | pubmed-10320077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103200772023-07-06 The AnnotSV webserver in 2023: updated visualization and ranking Geoffroy, Véronique Lamouche, Jean-Baptiste Guignard, Thomas Nicaise, Samuel Kress, Arnaud Scheidecker, Sophie Le Béchec, Antony Muller, Jean Nucleic Acids Res Web Server Issue Much of the human genetics variant repertoire is composed of single nucleotide variants (SNV) and small insertion/deletions (indel) but structural variants (SV) remain a major part of our modified DNA. SV detection has often been a complex question to answer either because of the necessity to use different technologies (array CGH, SNP array, Karyotype, Optical Genome Mapping…) to detect each category of SV or to get an appropriate resolution (Whole Genome Sequencing). Thanks to the deluge of pangenomic analysis, Human geneticists are accumulating SV and their interpretation remains time consuming and challenging. The AnnotSV webserver (https://www.lbgi.fr/AnnotSV/) aims at being an efficient tool to (i) annotate and interpret SV potential pathogenicity in the context of human diseases, (ii) recognize potential false positive variants from all the SV identified and (iii) visualize the patient variants repertoire. The most recent developments in the AnnotSV webserver are: (i) updated annotations sources and ranking, (ii) three novel output formats to allow diverse utilization (analysis, pipelines), as well as (iii) two novel user interfaces including an interactive circos view. Oxford University Press 2023-05-22 /pmc/articles/PMC10320077/ /pubmed/37216590 http://dx.doi.org/10.1093/nar/gkad426 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://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 | Web Server Issue Geoffroy, Véronique Lamouche, Jean-Baptiste Guignard, Thomas Nicaise, Samuel Kress, Arnaud Scheidecker, Sophie Le Béchec, Antony Muller, Jean The AnnotSV webserver in 2023: updated visualization and ranking |
title | The AnnotSV webserver in 2023: updated visualization and ranking |
title_full | The AnnotSV webserver in 2023: updated visualization and ranking |
title_fullStr | The AnnotSV webserver in 2023: updated visualization and ranking |
title_full_unstemmed | The AnnotSV webserver in 2023: updated visualization and ranking |
title_short | The AnnotSV webserver in 2023: updated visualization and ranking |
title_sort | annotsv webserver in 2023: updated visualization and ranking |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320077/ https://www.ncbi.nlm.nih.gov/pubmed/37216590 http://dx.doi.org/10.1093/nar/gkad426 |
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