OmicLoupe

OmicLoupe provides interactive exploration and visualization of omics datasets to identify technical limitations and biological trends across multiple studies and omics layers.

Key Features:

• Interactive Visualizations: More than 15 interactive cross-dataset visualizations for exploring and comparing gene product behavior across datasets, highlighting technical limitations and biological trends.
• Quality Control and Statistical Comparisons: Quality control assessments, statistical comparisons, overlap analyses, and correlation studies for dataset inspection and feature selection.
• Cross-Dataset Analysis: Comparative analysis across omics layers and datasets to identify consistent expression changes at transcript and protein levels.
• Rapid Exploration: Fast exploration of large-scale omics data using tailored visualizations that support comprehensive comparisons within and across data layers.

Scientific Applications:

• Multi-layer omics comparison: Detection of technical limitations and biological trends across omic layers, exemplified by identifying gene products with consistent expression changes in SARS-CoV-2 infection studies.

Methodology:

Uses tailored interactive visualizations together with quality control assessments, statistical comparisons, overlap analyses, correlation studies, and selection/export of features for downstream analysis.