ProteoIntegrator: Scalable and Integrated Platform for Robust Multi-Source Proteomics Data Harmonization and Analysis

Harmonize batch effects, impute missing values, and analyze proteomics data from DDA, DIA, TMT, and more. Freely available for academic use – empower your discoveries today.

Key Features for Seamless Proteomics Workflow

Data QC & Preprocessing

Automated filtering (>50% missing values), normalization (median/total intensity), and BPCA imputation. Visualize with barplots, boxplots, density plots, and PCA.

Batch Effect Correction

Parallelized ComBat for multi-instrument, multi-gradient data. Iterative refinement with editable annotations. Corrects longitudinal drifts and cross-lab variations.

Differential Expression Analysis

Identify DEPs with volcano plots, heatmaps, and PCA. Supports ANOVA, t-tests, and clustering for top DEPs.

Pathway & Network Analysis

Integrated ORA/GSEA (Reactome, WikiPathways) and STRING PPI networks. Visualize enriched pathways and functional modules.

Targeted Exploration

Search specific proteins with heatmaps and stats. Scalable for large datasets from public repositories like PRIDE.

ProteoIntegrator Workflow Overview

Proven Performance in Real-World Scenarios

Imputation Benchmarking

Evaluated 12 methods; BPCA excels for DDA/DIA and multi-instrument data.

Multi-Instrument Correction

Corrected QC samples across multiple instruments over time – zero DEPs post-correction.

Data Integration

Merged DDA/DIA/TMT with high accuracy; outperformed HarmonizR in DEP detection.

Public Dataset Harmonization

Integrated kidney cancer datasets; revealed metabolic shifts like OXPHOS downregulation.

See Full Benchmarks

Ready to Harmonize Your Proteomics Data?

Upload your matrix, correct batches, and uncover insights – all in one platform.