VennPlex--a novel Venn diagram program for comparing and visualizing datasets with differentially regulated datapoints.
With the development of increasingly large and complex genomic and proteomic data sets, an enhancement in the complexity of available Venn diagram analytical programs is becoming increasingly important. Current freely available Venn diagram programs often fail to represent extra complexity among dat...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2013-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3538763?pdf=render |
| _version_ | 1828378411802820608 |
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| author | Huan Cai Hongyu Chen Tie Yi Caitlin M Daimon John P Boyle Chris Peers Stuart Maudsley Bronwen Martin |
| author_facet | Huan Cai Hongyu Chen Tie Yi Caitlin M Daimon John P Boyle Chris Peers Stuart Maudsley Bronwen Martin |
| author_sort | Huan Cai |
| collection | DOAJ |
| description | With the development of increasingly large and complex genomic and proteomic data sets, an enhancement in the complexity of available Venn diagram analytical programs is becoming increasingly important. Current freely available Venn diagram programs often fail to represent extra complexity among datasets, such as regulation pattern differences between different groups. Here we describe the development of VennPlex, a program that illustrates the often diverse numerical interactions among multiple, high-complexity datasets, using up to four data sets. VennPlex includes versatile output features, where grouped data points in specific regions can be easily exported into a spreadsheet. This program is able to facilitate the analysis of two to four gene sets and their corresponding expression values in a user-friendly manner. To demonstrate its unique experimental utility we applied VennPlex to a complex paradigm, i.e. a comparison of the effect of multiple oxygen tension environments (1-20% ambient oxygen) upon gene transcription of primary rat astrocytes. VennPlex accurately dissects complex data sets reliably into easily identifiable groups for straightforward analysis and data output. This program, which is an improvement over currently available Venn diagram programs, is able to rapidly extract important datasets that represent the variety of expression patterns available within the data sets, showing potential applications in fields like genomics, proteomics, and bioinformatics. |
| first_indexed | 2024-04-14T08:26:33Z |
| format | Article |
| id | doaj.art-dfdbf2a9b56249ef916a16a9a025dfd7 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-14T08:26:33Z |
| publishDate | 2013-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-dfdbf2a9b56249ef916a16a9a025dfd72022-12-22T02:04:03ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0181e5338810.1371/journal.pone.0053388VennPlex--a novel Venn diagram program for comparing and visualizing datasets with differentially regulated datapoints.Huan CaiHongyu ChenTie YiCaitlin M DaimonJohn P BoyleChris PeersStuart MaudsleyBronwen MartinWith the development of increasingly large and complex genomic and proteomic data sets, an enhancement in the complexity of available Venn diagram analytical programs is becoming increasingly important. Current freely available Venn diagram programs often fail to represent extra complexity among datasets, such as regulation pattern differences between different groups. Here we describe the development of VennPlex, a program that illustrates the often diverse numerical interactions among multiple, high-complexity datasets, using up to four data sets. VennPlex includes versatile output features, where grouped data points in specific regions can be easily exported into a spreadsheet. This program is able to facilitate the analysis of two to four gene sets and their corresponding expression values in a user-friendly manner. To demonstrate its unique experimental utility we applied VennPlex to a complex paradigm, i.e. a comparison of the effect of multiple oxygen tension environments (1-20% ambient oxygen) upon gene transcription of primary rat astrocytes. VennPlex accurately dissects complex data sets reliably into easily identifiable groups for straightforward analysis and data output. This program, which is an improvement over currently available Venn diagram programs, is able to rapidly extract important datasets that represent the variety of expression patterns available within the data sets, showing potential applications in fields like genomics, proteomics, and bioinformatics.http://europepmc.org/articles/PMC3538763?pdf=render |
| spellingShingle | Huan Cai Hongyu Chen Tie Yi Caitlin M Daimon John P Boyle Chris Peers Stuart Maudsley Bronwen Martin VennPlex--a novel Venn diagram program for comparing and visualizing datasets with differentially regulated datapoints. PLoS ONE |
| title | VennPlex--a novel Venn diagram program for comparing and visualizing datasets with differentially regulated datapoints. |
| title_full | VennPlex--a novel Venn diagram program for comparing and visualizing datasets with differentially regulated datapoints. |
| title_fullStr | VennPlex--a novel Venn diagram program for comparing and visualizing datasets with differentially regulated datapoints. |
| title_full_unstemmed | VennPlex--a novel Venn diagram program for comparing and visualizing datasets with differentially regulated datapoints. |
| title_short | VennPlex--a novel Venn diagram program for comparing and visualizing datasets with differentially regulated datapoints. |
| title_sort | vennplex a novel venn diagram program for comparing and visualizing datasets with differentially regulated datapoints |
| url | http://europepmc.org/articles/PMC3538763?pdf=render |
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