VENNTURE--a novel Venn diagram investigational tool for multiple pharmacological dataset analysis.

As pharmacological data sets become increasingly large and complex, new visual analysis and filtering programs are needed to aid their appreciation. One of the most commonly used methods for visualizing biological data is the Venn diagram. Currently used Venn analysis software often presents multipl...

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Autores principales:	Bronwen Martin, Wayne Chadwick, Tie Yi, Sung-Soo Park, Daoyuan Lu, Bin Ni, Shekhar Gadkaree, Kathleen Farhang, Kevin G Becker, Stuart Maudsley
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a8dfefe15927484b9e8617879d743da6
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spelling	oai:doaj.org-article:a8dfefe15927484b9e8617879d743da62021-11-18T07:18:54ZVENNTURE--a novel Venn diagram investigational tool for multiple pharmacological dataset analysis.1932-620310.1371/journal.pone.0036911https://doaj.org/article/a8dfefe15927484b9e8617879d743da62012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22606307/?tool=EBIhttps://doaj.org/toc/1932-6203As pharmacological data sets become increasingly large and complex, new visual analysis and filtering programs are needed to aid their appreciation. One of the most commonly used methods for visualizing biological data is the Venn diagram. Currently used Venn analysis software often presents multiple problems to biological scientists, in that only a limited number of simultaneous data sets can be analyzed. An improved appreciation of the connectivity between multiple, highly-complex datasets is crucial for the next generation of data analysis of genomic and proteomic data streams. We describe the development of VENNTURE, a program that facilitates visualization of up to six datasets in a user-friendly manner. This program includes versatile output features, where grouped data points can be easily exported into a spreadsheet. To demonstrate its unique experimental utility we applied VENNTURE to a highly complex parallel paradigm, i.e. comparison of multiple G protein-coupled receptor drug dose phosphoproteomic data, in multiple cellular physiological contexts. VENNTURE was able to reliably and simply dissect six complex data sets into easily identifiable groups for straightforward analysis and data output. Applied to complex pharmacological datasets, VENNTURE's improved features and ease of analysis are much improved over currently available Venn diagram programs. VENNTURE enabled the delineation of highly complex patterns of dose-dependent G protein-coupled receptor activity and its dependence on physiological cellular contexts. This study highlights the potential for such a program in fields such as pharmacology, genomics, and bioinformatics.Bronwen MartinWayne ChadwickTie YiSung-Soo ParkDaoyuan LuBin NiShekhar GadkareeKathleen FarhangKevin G BeckerStuart MaudsleyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 5, p e36911 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bronwen Martin Wayne Chadwick Tie Yi Sung-Soo Park Daoyuan Lu Bin Ni Shekhar Gadkaree Kathleen Farhang Kevin G Becker Stuart Maudsley VENNTURE--a novel Venn diagram investigational tool for multiple pharmacological dataset analysis.
description	As pharmacological data sets become increasingly large and complex, new visual analysis and filtering programs are needed to aid their appreciation. One of the most commonly used methods for visualizing biological data is the Venn diagram. Currently used Venn analysis software often presents multiple problems to biological scientists, in that only a limited number of simultaneous data sets can be analyzed. An improved appreciation of the connectivity between multiple, highly-complex datasets is crucial for the next generation of data analysis of genomic and proteomic data streams. We describe the development of VENNTURE, a program that facilitates visualization of up to six datasets in a user-friendly manner. This program includes versatile output features, where grouped data points can be easily exported into a spreadsheet. To demonstrate its unique experimental utility we applied VENNTURE to a highly complex parallel paradigm, i.e. comparison of multiple G protein-coupled receptor drug dose phosphoproteomic data, in multiple cellular physiological contexts. VENNTURE was able to reliably and simply dissect six complex data sets into easily identifiable groups for straightforward analysis and data output. Applied to complex pharmacological datasets, VENNTURE's improved features and ease of analysis are much improved over currently available Venn diagram programs. VENNTURE enabled the delineation of highly complex patterns of dose-dependent G protein-coupled receptor activity and its dependence on physiological cellular contexts. This study highlights the potential for such a program in fields such as pharmacology, genomics, and bioinformatics.
format	article
author	Bronwen Martin Wayne Chadwick Tie Yi Sung-Soo Park Daoyuan Lu Bin Ni Shekhar Gadkaree Kathleen Farhang Kevin G Becker Stuart Maudsley
author_facet	Bronwen Martin Wayne Chadwick Tie Yi Sung-Soo Park Daoyuan Lu Bin Ni Shekhar Gadkaree Kathleen Farhang Kevin G Becker Stuart Maudsley
author_sort	Bronwen Martin
title	VENNTURE--a novel Venn diagram investigational tool for multiple pharmacological dataset analysis.
title_short	VENNTURE--a novel Venn diagram investigational tool for multiple pharmacological dataset analysis.
title_full	VENNTURE--a novel Venn diagram investigational tool for multiple pharmacological dataset analysis.
title_fullStr	VENNTURE--a novel Venn diagram investigational tool for multiple pharmacological dataset analysis.
title_full_unstemmed	VENNTURE--a novel Venn diagram investigational tool for multiple pharmacological dataset analysis.
title_sort	vennture--a novel venn diagram investigational tool for multiple pharmacological dataset analysis.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/a8dfefe15927484b9e8617879d743da6
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VENNTURE--a novel Venn diagram investigational tool for multiple pharmacological dataset analysis.

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