Recent developments in public proteomic MS repositories and pipelines

Area of Science:

• Proteomics
• Bioinformatics
• Data Science

Background:

• Publicly available proteomic data repositories are crucial for data sharing and reuse.
• Recent developments in these repositories often occur outside traditional scientific publications.
• Researchers need accessible information on options for storing and disseminating their MS/MS data.

Purpose of the Study:

• To provide a comprehensive overview of publicly available proteomic data repositories.
• To highlight the latest developments and new tools for data analysis and visualization.
• To guide proteomics practitioners in data dissemination and data mining.

Main Methods:

• Literature review of proteomic data repositories.
• Analysis of repository features, data types, and available tools.
• Identification of key biological datasets and standard datasets.

Main Results:

• An overview of various proteomic data repositories is presented.
• New tools for data analysis, visualization, and experimental design are highlighted.
• Key biological and standard datasets are identified for each repository.

Conclusions:

• Proteomic data repositories offer diverse options for data storage and dissemination.
• Advancements in data analysis and visualization tools are rapidly evolving.
• Understanding these resources is vital for both data generation and data mining in proteomics.