Cutevariant: a standalone GUI-based desktop application to explore genetic variations from an annotated VCF file

SUMMARY: Cutevariant is a graphical user interface (GUI)-based desktop application designed to filter variations from annotated VCF file. The application imports data into a local SQLite database where complex filter queries can be built either from GUI controllers or using a domain-specific languag...

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Detalles Bibliográficos
Autores principales: Schutz, Sacha, Monod-Broca, Charles, Bourneuf, Lucas, Marijon, Pierre, Montier, Tristan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Application Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710699/
https://www.ncbi.nlm.nih.gov/pubmed/36699349
http://dx.doi.org/10.1093/bioadv/vbab028
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author Schutz, Sacha
Monod-Broca, Charles
Bourneuf, Lucas
Marijon, Pierre
Montier, Tristan
author_facet Schutz, Sacha
Monod-Broca, Charles
Bourneuf, Lucas
Marijon, Pierre
Montier, Tristan
author_sort Schutz, Sacha
collection PubMed
description SUMMARY: Cutevariant is a graphical user interface (GUI)-based desktop application designed to filter variations from annotated VCF file. The application imports data into a local SQLite database where complex filter queries can be built either from GUI controllers or using a domain-specific language called Variant Query Language. Cutevariant provides more features than existing applications and is fully customizable thanks to a complete plugins architecture. AVAILABILITY AND IMPLEMENTATION: Cutevariant is distributed as a multiplatform client-side software under an open source license and is available at https://github.com/labsquare/cutevariant.
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spelling pubmed-97106992023-01-24 Cutevariant: a standalone GUI-based desktop application to explore genetic variations from an annotated VCF file Schutz, Sacha Monod-Broca, Charles Bourneuf, Lucas Marijon, Pierre Montier, Tristan Bioinform Adv Application Note SUMMARY: Cutevariant is a graphical user interface (GUI)-based desktop application designed to filter variations from annotated VCF file. The application imports data into a local SQLite database where complex filter queries can be built either from GUI controllers or using a domain-specific language called Variant Query Language. Cutevariant provides more features than existing applications and is fully customizable thanks to a complete plugins architecture. AVAILABILITY AND IMPLEMENTATION: Cutevariant is distributed as a multiplatform client-side software under an open source license and is available at https://github.com/labsquare/cutevariant. Oxford University Press 2021-11-25 /pmc/articles/PMC9710699/ /pubmed/36699349 http://dx.doi.org/10.1093/bioadv/vbab028 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Application Note
Schutz, Sacha
Monod-Broca, Charles
Bourneuf, Lucas
Marijon, Pierre
Montier, Tristan
Cutevariant: a standalone GUI-based desktop application to explore genetic variations from an annotated VCF file
title Cutevariant: a standalone GUI-based desktop application to explore genetic variations from an annotated VCF file
title_full Cutevariant: a standalone GUI-based desktop application to explore genetic variations from an annotated VCF file
title_fullStr Cutevariant: a standalone GUI-based desktop application to explore genetic variations from an annotated VCF file
title_full_unstemmed Cutevariant: a standalone GUI-based desktop application to explore genetic variations from an annotated VCF file
title_short Cutevariant: a standalone GUI-based desktop application to explore genetic variations from an annotated VCF file
title_sort cutevariant: a standalone gui-based desktop application to explore genetic variations from an annotated vcf file
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710699/
https://www.ncbi.nlm.nih.gov/pubmed/36699349
http://dx.doi.org/10.1093/bioadv/vbab028
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