DEP2: an upgraded comprehensive analysis toolkit for quantitative proteomics data

Area of Science:

• Proteomics
• Bioinformatics
• Computational Biology

Background:

• Mass spectrometry (MS)-based proteomics is crucial for studying biological and clinical samples.
• Advancements in MS require sophisticated data analysis workflows, including quality control, hypothesis testing, and functional mining.
• Existing tools often lack a universal approach for comprehensive proteomics data analysis.

Purpose of the Study:

• To present DEP2, an updated and versatile toolkit for proteomics data analysis.
• To provide an efficient and universal tandem analysis toolkit for a quick overview of diverse proteomics data.
• To facilitate protein- and peptide-level quantitative proteomics data analysis.

Main Methods:

• DEP2 incorporates alternative approaches for diverse proteomics data.
• The toolkit introduces peptide-protein summarization.
• It couples biological function exploration with data analysis.
• A user-friendly Shiny application is included for ease of use.

Main Results:

• DEP2 offers a well-rounded toolkit for quantitative proteomics data.
• It features a more flexible differential analysis workflow.
• The toolkit accommodates diverse proteomics data types.
• DEP2 facilitates efficient data analysis and interpretation.

Conclusions:

• DEP2 is a valuable resource for researchers analyzing quantitative proteomics data.
• The toolkit enhances the interpretation of complex biological and clinical proteomic datasets.
• DEP2 streamlines the analysis workflow, making it more accessible and efficient.