OMICs Research Workflow | PandaOmics
OMICs Data Research Workflow
Please follow these easy steps to perform a typical dataset analysis using PandaOmics
Collect your data
- Search for the dataset of interest in the search box on the Main Page
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- Upload your own dataset
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Define groups of samples you want to select for differential gene expression analysis
- Use metadata sample annotation available for a given dataset
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- Run clustering analysis for a big dataset to see closely related groups of samples based on gene expression profile
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Compare sample groups of interest
- Explore Comparison report
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- Differential expression for a Comparison
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- Analyse Affected Pathways
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- Find connections between molecular data and metadata
Identify actionable Targets in the Target ID tool and repurposing candidates in the Compound ID tool
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