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Omics Vision

An integrated workspace to visualize, analyze, and enable discovery from omics data

Meritudio’s Omics Vision module features two robust tools: Omics Visualizer and Omics Analyzer. Omics Visualizer enables code-free exploration of curated omics studies from sources like GEO and TCGA, offering a vast repository of rigorously curated datasets. Users can browse projects, customize visualizations, and create publication-ready reports with ease. Omics Analyzer goes further, allowing users to upload their own omics data for tailored analysis, supporting RNAseq, proteomics, and more. It includes advanced features like data QC, batch effect removal, and diverse analyses such as gene expression comparison and pathway evaluation. These tools simplify omics research, helping users uncover insights efficiently.

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Curated Studies
Access curated omics studies effortlessly

Explore curated omics studies from trusted sources like GEO and TCGA

Access a vast repository of rigorously curated datasets, continually updated

Browse thousands of projects and samples with ease

Seamlessly integrate external omics data for expanded analysis opportunities

User Friendly
Simplified for all skill levels

Code-free, interactive interface designed for biologists and non-experts

Generate publication-ready reports with high-quality figures and tables

Step-by-step guidance for interpreting results and understanding biological insights

Intuitive visualizations and customizable workflows for seamless analysis

Advanced Analytics
Powerful tools for better intepretations

Perform diverse analyses, including gene/protein expression comparison and pathway evaluation

Conduct differential expression analysis and identify biomarkers with precision

Automatically detect and correct batch effects for reliable, high-quality results

Customize analysis parameters to fit specific research questions and data types

Biological Significance
Focused Insights into Biology

Custom workflows for omics data reveal specific biological mechanisms

Identifies key genes and proteins driving phenotypic changes and disease processes

Links findings to biological pathways, processes, and functional annotations

Uncovers gene and protein clusters and interaction networks with biological roles

Correlates molecular data with clinical outcomes for actionable therapeutic insights

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