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ProVision: a web-based platform for rapid analysis of proteomics data processed by MaxQuant
SUMMARY: Proteomics is a powerful tool for protein expression analysis and is becoming more readily available to researchers through core facilities or specialized collaborations. However, one major bottleneck for routine implementation and accessibility of this technology to the wider scientific co...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723325/ https://www.ncbi.nlm.nih.gov/pubmed/32638008 http://dx.doi.org/10.1093/bioinformatics/btaa620 |
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author | Gallant, James Luke Heunis, Tiaan Sampson, Samantha Leigh Bitter, Wilbert |
author_facet | Gallant, James Luke Heunis, Tiaan Sampson, Samantha Leigh Bitter, Wilbert |
author_sort | Gallant, James Luke |
collection | PubMed |
description | SUMMARY: Proteomics is a powerful tool for protein expression analysis and is becoming more readily available to researchers through core facilities or specialized collaborations. However, one major bottleneck for routine implementation and accessibility of this technology to the wider scientific community is the complexity of data analysis. To this end, we have created ProVision, a free open-source web-based analytics platform that allows users to analyze data from two common proteomics relative quantification workflows, namely label-free and tandem mass tag-based experiments. Furthermore, ProVision allows the freedom to interface with the data analysis pipeline while maintaining a user-friendly environment and providing default parameters for fast statistical and exploratory data analysis. Finally, multiple customizable quality control, differential expression plots as well as enrichments and protein–protein interaction prediction can be generated online in one platform. AVAILABILITY AND IMPLEMENTATION: Quick start and step-by-step tutorials as well as tutorial data are fully incorporated in the web application. This application is available online at https://provision.shinyapps.io/provision/ for free use. The source code is available at https://github.com/JamesGallant/ProVision under the GPL version 3.0 license. |
format | Online Article Text |
id | pubmed-7723325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77233252020-12-14 ProVision: a web-based platform for rapid analysis of proteomics data processed by MaxQuant Gallant, James Luke Heunis, Tiaan Sampson, Samantha Leigh Bitter, Wilbert Bioinformatics Applications Notes SUMMARY: Proteomics is a powerful tool for protein expression analysis and is becoming more readily available to researchers through core facilities or specialized collaborations. However, one major bottleneck for routine implementation and accessibility of this technology to the wider scientific community is the complexity of data analysis. To this end, we have created ProVision, a free open-source web-based analytics platform that allows users to analyze data from two common proteomics relative quantification workflows, namely label-free and tandem mass tag-based experiments. Furthermore, ProVision allows the freedom to interface with the data analysis pipeline while maintaining a user-friendly environment and providing default parameters for fast statistical and exploratory data analysis. Finally, multiple customizable quality control, differential expression plots as well as enrichments and protein–protein interaction prediction can be generated online in one platform. AVAILABILITY AND IMPLEMENTATION: Quick start and step-by-step tutorials as well as tutorial data are fully incorporated in the web application. This application is available online at https://provision.shinyapps.io/provision/ for free use. The source code is available at https://github.com/JamesGallant/ProVision under the GPL version 3.0 license. Oxford University Press 2020-07-08 /pmc/articles/PMC7723325/ /pubmed/32638008 http://dx.doi.org/10.1093/bioinformatics/btaa620 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Gallant, James Luke Heunis, Tiaan Sampson, Samantha Leigh Bitter, Wilbert ProVision: a web-based platform for rapid analysis of proteomics data processed by MaxQuant |
title | ProVision: a web-based platform for rapid analysis of proteomics data processed by MaxQuant |
title_full | ProVision: a web-based platform for rapid analysis of proteomics data processed by MaxQuant |
title_fullStr | ProVision: a web-based platform for rapid analysis of proteomics data processed by MaxQuant |
title_full_unstemmed | ProVision: a web-based platform for rapid analysis of proteomics data processed by MaxQuant |
title_short | ProVision: a web-based platform for rapid analysis of proteomics data processed by MaxQuant |
title_sort | provision: a web-based platform for rapid analysis of proteomics data processed by maxquant |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723325/ https://www.ncbi.nlm.nih.gov/pubmed/32638008 http://dx.doi.org/10.1093/bioinformatics/btaa620 |
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