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DynaVenn: web-based computation of the most significant overlap between ordered sets
BACKGROUND: In many research disciplines, ordered lists are compared. One example is to compare a subset of all significant genes or proteins in a primary study to those in a replication study. Often, the top of the lists are compared using Venn diagrams, ore more precisely Euler diagrams (set diagr...
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/PMC6937821/ https://www.ncbi.nlm.nih.gov/pubmed/31888436 http://dx.doi.org/10.1186/s12859-019-3320-5 |
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author | Amand, Jérémy Fehlmann, Tobias Backes, Christina Keller, Andreas |
author_facet | Amand, Jérémy Fehlmann, Tobias Backes, Christina Keller, Andreas |
author_sort | Amand, Jérémy |
collection | PubMed |
description | BACKGROUND: In many research disciplines, ordered lists are compared. One example is to compare a subset of all significant genes or proteins in a primary study to those in a replication study. Often, the top of the lists are compared using Venn diagrams, ore more precisely Euler diagrams (set diagrams showing logical relations between a finite collection of different sets). If different cohort sizes, different techniques or algorithms for evaluation were applied, a direct comparison of significant genes with a fixed threshold can however be misleading and approaches comparing lists would be more appropriate. RESULTS: We developed DynaVenn, a web-based tool that incrementally creates all possible subsets from two or three ordered lists and computes for each combination a p-value for the overlap. Respectively, dynamic Venn diagrams are generated as graphical representations. Additionally an animation is generated showing how the most significant overlap is reached by backtracking. We demonstrate the improved performance of DynaVenn over an arbitrary cut-off approach on an Alzheimer’s Disease biomarker set. CONCLUSION: DynaVenn combines the calculation of the most significant overlap of different cohorts with an intuitive visualization of the results. It is freely available as a web service at http://www.ccb.uni-saarland.de/dynavenn. |
format | Online Article Text |
id | pubmed-6937821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69378212019-12-31 DynaVenn: web-based computation of the most significant overlap between ordered sets Amand, Jérémy Fehlmann, Tobias Backes, Christina Keller, Andreas BMC Bioinformatics Software BACKGROUND: In many research disciplines, ordered lists are compared. One example is to compare a subset of all significant genes or proteins in a primary study to those in a replication study. Often, the top of the lists are compared using Venn diagrams, ore more precisely Euler diagrams (set diagrams showing logical relations between a finite collection of different sets). If different cohort sizes, different techniques or algorithms for evaluation were applied, a direct comparison of significant genes with a fixed threshold can however be misleading and approaches comparing lists would be more appropriate. RESULTS: We developed DynaVenn, a web-based tool that incrementally creates all possible subsets from two or three ordered lists and computes for each combination a p-value for the overlap. Respectively, dynamic Venn diagrams are generated as graphical representations. Additionally an animation is generated showing how the most significant overlap is reached by backtracking. We demonstrate the improved performance of DynaVenn over an arbitrary cut-off approach on an Alzheimer’s Disease biomarker set. CONCLUSION: DynaVenn combines the calculation of the most significant overlap of different cohorts with an intuitive visualization of the results. It is freely available as a web service at http://www.ccb.uni-saarland.de/dynavenn. BioMed Central 2019-12-30 /pmc/articles/PMC6937821/ /pubmed/31888436 http://dx.doi.org/10.1186/s12859-019-3320-5 Text en © The Author(s) 2019 Open Access This 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 Amand, Jérémy Fehlmann, Tobias Backes, Christina Keller, Andreas DynaVenn: web-based computation of the most significant overlap between ordered sets |
title | DynaVenn: web-based computation of the most significant overlap between ordered sets |
title_full | DynaVenn: web-based computation of the most significant overlap between ordered sets |
title_fullStr | DynaVenn: web-based computation of the most significant overlap between ordered sets |
title_full_unstemmed | DynaVenn: web-based computation of the most significant overlap between ordered sets |
title_short | DynaVenn: web-based computation of the most significant overlap between ordered sets |
title_sort | dynavenn: web-based computation of the most significant overlap between ordered sets |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937821/ https://www.ncbi.nlm.nih.gov/pubmed/31888436 http://dx.doi.org/10.1186/s12859-019-3320-5 |
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