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Aneuvis: web-based exploration of numerical chromosomal variation in single cells
BACKGROUND: Numerical chromosomal variation is a hallmark of populations of malignant cells. Identifying the factors that promote numerical chromosomal variation is important for understanding mechanisms of carcinogenesis. However, the ability to quantify and visualize differences in chromosome numb...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580570/ https://www.ncbi.nlm.nih.gov/pubmed/31208319 http://dx.doi.org/10.1186/s12859-019-2842-1 |
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author | Piqué, Daniel G. Andriani, Grasiella A. Maggi, Elaine Zimmerman, Samuel E. Greally, John M. Montagna, Cristina Mar, Jessica C. |
author_facet | Piqué, Daniel G. Andriani, Grasiella A. Maggi, Elaine Zimmerman, Samuel E. Greally, John M. Montagna, Cristina Mar, Jessica C. |
author_sort | Piqué, Daniel G. |
collection | PubMed |
description | BACKGROUND: Numerical chromosomal variation is a hallmark of populations of malignant cells. Identifying the factors that promote numerical chromosomal variation is important for understanding mechanisms of carcinogenesis. However, the ability to quantify and visualize differences in chromosome number between experimentally-defined groups (e.g. control vs treated) obtained from single-cell experiments is currently limited by the lack of user-friendly software. RESULTS: Aneuvis is a web application that allows users to determine whether numerical chromosomal variation exists between experimental treatment groups. The web interface allows users to upload molecular cytogenetic or processed single cell whole-genome sequencing data in a cell-by-chromosome matrix format and automatically generates visualizations and summary statistics that reflect the degree of numeric chromosomal variability. CONCLUSIONS: Aneuvis is the first user-friendly web application to help researchers identify the genetic and environmental perturbations that promote numerical chromosomal variation. Aneuvis is freely available as a web application at https://dpique.shinyapps.io/aneuvis/ and the source code for the application is available at https://github.com/dpique/aneuvis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2842-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6580570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65805702019-06-24 Aneuvis: web-based exploration of numerical chromosomal variation in single cells Piqué, Daniel G. Andriani, Grasiella A. Maggi, Elaine Zimmerman, Samuel E. Greally, John M. Montagna, Cristina Mar, Jessica C. BMC Bioinformatics Software BACKGROUND: Numerical chromosomal variation is a hallmark of populations of malignant cells. Identifying the factors that promote numerical chromosomal variation is important for understanding mechanisms of carcinogenesis. However, the ability to quantify and visualize differences in chromosome number between experimentally-defined groups (e.g. control vs treated) obtained from single-cell experiments is currently limited by the lack of user-friendly software. RESULTS: Aneuvis is a web application that allows users to determine whether numerical chromosomal variation exists between experimental treatment groups. The web interface allows users to upload molecular cytogenetic or processed single cell whole-genome sequencing data in a cell-by-chromosome matrix format and automatically generates visualizations and summary statistics that reflect the degree of numeric chromosomal variability. CONCLUSIONS: Aneuvis is the first user-friendly web application to help researchers identify the genetic and environmental perturbations that promote numerical chromosomal variation. Aneuvis is freely available as a web application at https://dpique.shinyapps.io/aneuvis/ and the source code for the application is available at https://github.com/dpique/aneuvis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2842-1) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-17 /pmc/articles/PMC6580570/ /pubmed/31208319 http://dx.doi.org/10.1186/s12859-019-2842-1 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Piqué, Daniel G. Andriani, Grasiella A. Maggi, Elaine Zimmerman, Samuel E. Greally, John M. Montagna, Cristina Mar, Jessica C. Aneuvis: web-based exploration of numerical chromosomal variation in single cells |
title | Aneuvis: web-based exploration of numerical chromosomal variation in single cells |
title_full | Aneuvis: web-based exploration of numerical chromosomal variation in single cells |
title_fullStr | Aneuvis: web-based exploration of numerical chromosomal variation in single cells |
title_full_unstemmed | Aneuvis: web-based exploration of numerical chromosomal variation in single cells |
title_short | Aneuvis: web-based exploration of numerical chromosomal variation in single cells |
title_sort | aneuvis: web-based exploration of numerical chromosomal variation in single cells |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580570/ https://www.ncbi.nlm.nih.gov/pubmed/31208319 http://dx.doi.org/10.1186/s12859-019-2842-1 |
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