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LocusZoom.js: interactive and embeddable visualization of genetic association study results
SUMMARY: LocusZoom.js is a JavaScript library for creating interactive web-based visualizations of genetic association study results. It can display one or more traits in the context of relevant biological data (such as gene models and other genomic annotation), and allows interactive refinement of...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479674/ https://www.ncbi.nlm.nih.gov/pubmed/33734315 http://dx.doi.org/10.1093/bioinformatics/btab186 |
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author | Boughton, Andrew P Welch, Ryan P Flickinger, Matthew VandeHaar, Peter Taliun, Daniel Abecasis, Gonçalo R Boehnke, Michael |
author_facet | Boughton, Andrew P Welch, Ryan P Flickinger, Matthew VandeHaar, Peter Taliun, Daniel Abecasis, Gonçalo R Boehnke, Michael |
author_sort | Boughton, Andrew P |
collection | PubMed |
description | SUMMARY: LocusZoom.js is a JavaScript library for creating interactive web-based visualizations of genetic association study results. It can display one or more traits in the context of relevant biological data (such as gene models and other genomic annotation), and allows interactive refinement of analysis models (by selecting linkage disequilibrium reference panels, identifying sets of likely causal variants, or comparisons to the GWAS catalog). It can be embedded in web pages to enable data sharing and exploration. Views can be customized and extended to display other data types such as phenome-wide association study (PheWAS) results, chromatin co-accessibility, or eQTL measurements. A new web upload service harmonizes datasets, adds annotations, and makes it easy to explore user-provided result sets. AVAILABILITY AND IMPLEMENTATION: LocusZoom.js is open-source software under a permissive MIT license. Code and documentation are available at: https://github.com/statgen/locuszoom/. Installable packages for all versions are also distributed via NPM. Additional features are provided as standalone libraries to promote reuse. Use with your own GWAS results at https://my.locuszoom.org/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-8479674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84796742021-09-30 LocusZoom.js: interactive and embeddable visualization of genetic association study results Boughton, Andrew P Welch, Ryan P Flickinger, Matthew VandeHaar, Peter Taliun, Daniel Abecasis, Gonçalo R Boehnke, Michael Bioinformatics Applications Notes SUMMARY: LocusZoom.js is a JavaScript library for creating interactive web-based visualizations of genetic association study results. It can display one or more traits in the context of relevant biological data (such as gene models and other genomic annotation), and allows interactive refinement of analysis models (by selecting linkage disequilibrium reference panels, identifying sets of likely causal variants, or comparisons to the GWAS catalog). It can be embedded in web pages to enable data sharing and exploration. Views can be customized and extended to display other data types such as phenome-wide association study (PheWAS) results, chromatin co-accessibility, or eQTL measurements. A new web upload service harmonizes datasets, adds annotations, and makes it easy to explore user-provided result sets. AVAILABILITY AND IMPLEMENTATION: LocusZoom.js is open-source software under a permissive MIT license. Code and documentation are available at: https://github.com/statgen/locuszoom/. Installable packages for all versions are also distributed via NPM. Additional features are provided as standalone libraries to promote reuse. Use with your own GWAS results at https://my.locuszoom.org/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-03-18 /pmc/articles/PMC8479674/ /pubmed/33734315 http://dx.doi.org/10.1093/bioinformatics/btab186 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 | Applications Notes Boughton, Andrew P Welch, Ryan P Flickinger, Matthew VandeHaar, Peter Taliun, Daniel Abecasis, Gonçalo R Boehnke, Michael LocusZoom.js: interactive and embeddable visualization of genetic association study results |
title | LocusZoom.js: interactive and embeddable visualization of genetic association study results |
title_full | LocusZoom.js: interactive and embeddable visualization of genetic association study results |
title_fullStr | LocusZoom.js: interactive and embeddable visualization of genetic association study results |
title_full_unstemmed | LocusZoom.js: interactive and embeddable visualization of genetic association study results |
title_short | LocusZoom.js: interactive and embeddable visualization of genetic association study results |
title_sort | locuszoom.js: interactive and embeddable visualization of genetic association study results |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479674/ https://www.ncbi.nlm.nih.gov/pubmed/33734315 http://dx.doi.org/10.1093/bioinformatics/btab186 |
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