# OMICs Data Research Workflow

Please follow these easy steps to perform a typical dataset analysis using PandaOmics

## Collect your data

1. **Search for the dataset of interest in the search box on the Main Page**

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2. **Upload your own dataset**

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3. **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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4. **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  
   
5. **Identify actionable Targets** in the Target ID tool and repurposing candidates in the Compound ID tool

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