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ShinyAIM: Shiny‐based application of interactive Manhattan plots for longitudinal genome‐wide association studies
Owning to advancements in sensor‐based, non‐destructive phenotyping platforms, researchers are increasingly collecting data with higher temporal resolution. These phenotypes collected over several time points are cataloged as longitudinal traits and used for genome‐wide association studies (GWAS). L...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6508828/ https://www.ncbi.nlm.nih.gov/pubmed/31245691 http://dx.doi.org/10.1002/pld3.91 |
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author | Hussain, Waseem Campbell, Malachy Walia, Harkamal Morota, Gota |
author_facet | Hussain, Waseem Campbell, Malachy Walia, Harkamal Morota, Gota |
author_sort | Hussain, Waseem |
collection | PubMed |
description | Owning to advancements in sensor‐based, non‐destructive phenotyping platforms, researchers are increasingly collecting data with higher temporal resolution. These phenotypes collected over several time points are cataloged as longitudinal traits and used for genome‐wide association studies (GWAS). Longitudinal GWAS typically yield a large number of output files, posing a significant challenge to data interpretation and visualization. Efficient, dynamic, and integrative data visualization tools are essential for the interpretation of longitudinal GWAS results for biologists; however, these tools are not widely available to the community. We have developed a flexible and user‐friendly Shiny‐based online application, ShinyAIM, to dynamically view and interpret temporal GWAS results. The main features of the application include (a) interactive Manhattan plots for single time points, (b) a grid plot to view Manhattan plots for all time points simultaneously, (c) dynamic scatter plots for p‐value‐filtered selected markers to investigate co‐localized genomic regions across time points, (d) and interactive phenotypic data visualization to capture variation and trends in phenotypes. The application is written entirely in the R language and can be used with limited programming experience. ShinyAIM is deployed online as a Shiny web server application at https://chikudaisei.shinyapps.io/shinyaim/, enabling easy access for users without installation. The application can also be launched on a local machine in RStudio. |
format | Online Article Text |
id | pubmed-6508828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65088282019-06-26 ShinyAIM: Shiny‐based application of interactive Manhattan plots for longitudinal genome‐wide association studies Hussain, Waseem Campbell, Malachy Walia, Harkamal Morota, Gota Plant Direct Original Research Owning to advancements in sensor‐based, non‐destructive phenotyping platforms, researchers are increasingly collecting data with higher temporal resolution. These phenotypes collected over several time points are cataloged as longitudinal traits and used for genome‐wide association studies (GWAS). Longitudinal GWAS typically yield a large number of output files, posing a significant challenge to data interpretation and visualization. Efficient, dynamic, and integrative data visualization tools are essential for the interpretation of longitudinal GWAS results for biologists; however, these tools are not widely available to the community. We have developed a flexible and user‐friendly Shiny‐based online application, ShinyAIM, to dynamically view and interpret temporal GWAS results. The main features of the application include (a) interactive Manhattan plots for single time points, (b) a grid plot to view Manhattan plots for all time points simultaneously, (c) dynamic scatter plots for p‐value‐filtered selected markers to investigate co‐localized genomic regions across time points, (d) and interactive phenotypic data visualization to capture variation and trends in phenotypes. The application is written entirely in the R language and can be used with limited programming experience. ShinyAIM is deployed online as a Shiny web server application at https://chikudaisei.shinyapps.io/shinyaim/, enabling easy access for users without installation. The application can also be launched on a local machine in RStudio. John Wiley and Sons Inc. 2018-10-24 /pmc/articles/PMC6508828/ /pubmed/31245691 http://dx.doi.org/10.1002/pld3.91 Text en © 2018 The Authors. Plant Direct published by American Society of Plant Biologists, Society for Experimental Biology and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Hussain, Waseem Campbell, Malachy Walia, Harkamal Morota, Gota ShinyAIM: Shiny‐based application of interactive Manhattan plots for longitudinal genome‐wide association studies |
title | ShinyAIM: Shiny‐based application of interactive Manhattan plots for longitudinal genome‐wide association studies |
title_full | ShinyAIM: Shiny‐based application of interactive Manhattan plots for longitudinal genome‐wide association studies |
title_fullStr | ShinyAIM: Shiny‐based application of interactive Manhattan plots for longitudinal genome‐wide association studies |
title_full_unstemmed | ShinyAIM: Shiny‐based application of interactive Manhattan plots for longitudinal genome‐wide association studies |
title_short | ShinyAIM: Shiny‐based application of interactive Manhattan plots for longitudinal genome‐wide association studies |
title_sort | shinyaim: shiny‐based application of interactive manhattan plots for longitudinal genome‐wide association studies |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6508828/ https://www.ncbi.nlm.nih.gov/pubmed/31245691 http://dx.doi.org/10.1002/pld3.91 |
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