Crowdsourcing in proteomics: public resources lead to better experiments

Area of Science:

• Proteomics
• Bioinformatics
• Data Science

Background:

• The field of proteomics has seen a significant increase in publicly available data resources.
• Numerous resources exist to support various stages of a proteomics experiment.
• Effective utilization of these resources requires careful selection based on experimental needs.

Purpose of the Study:

• To provide an overview of available proteomics resources and their applications.
• To assist researchers in choosing the most suitable resources for their specific experiments.
• To discuss the role and benefits of crowdsourcing in proteomics resource development.

Main Methods:

• Literature review of existing proteomics resources.
• Categorization of resources based on their application in the proteomics workflow.
• Discussion of crowdsourcing strategies and their impact on resource utility.

Main Results:

• A comprehensive overview of diverse proteomics resources is presented.
• Guidance is offered for aligning resource selection with experimental design.
• The potential of crowdsourcing to enhance resource effectiveness is explored.

Conclusions:

• Selecting the right proteomics resource at the right time is crucial for experimental success.
• Crowdsourcing offers a promising avenue for improving the scope and accuracy of proteomics resources.
• This review serves as a practical guide for navigating the expanding landscape of proteomics tools.