ProVision: a web-based platform for rapid analysis of proteomics data processed by MaxQuant

Author:

Gallant James Luke12,Heunis Tiaan13,Sampson Samantha Leigh1,Bitter Wilbert24

Affiliation:

1. Division of Molecular Biology and Human Genetics, Department of Biomedical Science, DST/NRF Centre of Excellence in Biomedical TB Research, SA MRC Centre for Tuberculosis Research, Faculty of Medicine and Health Science, Stellenbosch University, Tygerberg, Cape Town 7505, South Africa

2. Section Molecular Microbiology, Amsterdam Institute for Molecules, Medicines and Systems, Vrije Universiteit Amsterdam, Amsterdam 1081 HZ, The Netherlands

3. Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE2 4HH, UK

4. Department of Medical Microbiology and Infection Control, Amsterdam UMC, location VUmc, Amsterdam 1081 HZ, The Netherlands

Abstract

Abstract 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.

Funder

NRF-VU Desmond Tutu Doctoral

TB Research and DST/NRF Centre of Excellence for Biomedical Tuberculosis Research

South African Research Chairs Initiative of the Department of Science and Technology and National Research Foundation (NRF) of South Africa

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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