Related Experiment Videos
The Encyclopedia of Proteome Dynamics: a big data ecosystem for (prote)omics
Alejandro Brenes1, Vackar Afzal1, Robert Kent1
1Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow St, Dundee DD1 5EH, UK.
Nucleic Acids Research
|October 6, 2017
Summary
The Encyclopedia of Proteome Dynamics (EPD) offers a new tool for researchers to explore complex proteomics data. This resource integrates vast protein identification datasets, aiding biological and clinical research.
Area of Science:
- Proteomics
- Bioinformatics
- Genomics
Background:
- Mass spectrometry (MS) advancements drive proteomics data growth.
- Complex proteomics datasets require advanced analysis tools.
- Integrating proteomics with genomics is crucial for biological insights.
Purpose of the Study:
- To develop an innovative tool for analyzing, visualizing, and exploring large proteomics datasets.
- To provide open access to integrated proteomics data from published studies.
- To facilitate the integration of proteomics data with genomics and other large-scale datasets.
Main Methods:
- Creation of the Encyclopedia of Proteome Dynamics (EPD) web application.
- Implementation of a polyglot persistent database.
- Development of a user-friendly interface with interactive visualizations.
Main Results:
- EPD provides open access to integrated proteomics data for over 30,000 proteins.
- The platform features graphical navigation and interactive visualizations for data exploration.
- EPD serves as a flexible and scalable ecosystem for data integration.
Conclusions:
- EPD addresses the need for user-friendly tools in proteomics data analysis.
- The platform enhances the exploration and integration of complex biological datasets.
- EPD supports advancements in biological and clinical research through accessible data.