OMICs Data
Research Workflow
Please follow these easy steps to perform a typical dataset analysis using PandaOmics
PandaOmics Manual
PandaOmics
MANUAL
Main Page
OMICs Data Research Workflow
Dataset Uploading
Experimental Group Setup
Comparison Creation
− Cross-Dataset Comparisons
Comparison Interpretation
Differentially Expressed Genes
Affected Pathways
Metadata Analysis
Data Manager
Target ID
TARGET PRIORITIZATION SCORES
DRUGGABILITY FILTERS
Compound ID
− Scores
− Attributes
Indication Prioritization
Genetic Data
Gene-Disease Report
Knowledge Graph
ChatPandaGPT
Dedicated Pages
Releases
Insilico Medicine
Collect your data
1.1. Search for the dataset of interest in the search box on the Main Page
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1.2. Upload your own dataset
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Define groups of samples you want to select for differential gene expression analysis
2.1. Use metadata sample annotation available for a given dataset
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2.2. 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
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Explore Comparison report
4.1. Differential expression for a Comparison
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4.2. Analyse Affected Pathways
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4.3. 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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