ProteomeExpert

ProteomeExpert performs analysis, modeling, visualization, and mining of large-scale quantitative proteomic datasets from mass spectrometry (including data-independent acquisition) and supports integration with omics derived from high-throughput sequencing, such as transcriptomics and metabolomics, to enable biomarker discovery and systems-level studies.

Key Features:

• Web‑Server Deployment: Implemented in Docker and runnable within an R environment, enabling deployment on systems with Docker or R.
• Comprehensive Analytical Tools: Provides experimental design, data mining, modeling, and interpretation capabilities tailored to quantitative proteomic datasets.
• Omics Integration: Supports integration of proteomic data with transcriptomics and metabolomics for multi-omics analyses.
• Visualization Capabilities: Offers advanced visualization options for complex quantitative proteomic data.

Scientific Applications:

• Clinical Proteomics: Analysis of large-scale proteomic datasets for biomarker and therapeutic target identification.
• Multi‑Omics Systems Biology: Integration of proteomic, transcriptomic, and metabolomic data for systems-level studies.
• Experimental Design and Interpretation: Design and interpretation of quantitative proteomic experiments and complex datasets.

Methodology:

Computational functionality includes exploration, modeling, visualization, and mining of quantitative proteomic datasets, handling mass spectrometry data including data-independent acquisition, and integration with transcriptomics and metabolomics; the software is implemented in Docker and can run within an R environment.