R script for interactive gene expression analysis with phantasus. Enables data transformation, anotation, normalization, and visualization through a web interface. Helps bioinformatics researchers identify significant genes and gain biological insights efficiently. Differential expression analysis, clustering & pathway analysis can be performed.
This project demonstrates how to perform interactive gene expression analysis using the powerful phantasus package. 🎉
Phantasus is an interactive R package designed for gene expression data analysis. It provides a user-friendly web interface that simplifies key bioinformatics tasks, including:
- 📊 Data Transformation and Normalization
- 🧬 Differential Gene Expression Analysis
- 🔍 Gene Selection and Clustering
This tool is perfect for bioinformatics researchers looking to streamline their workflows and focus on biological insights.
The phantasus package supports:
- Data Transformation: Prepare raw gene expression data for analysis.
- Normalization: Standardize datasets for valid comparisons.
- Differential Expression Analysis: Identify genes with significant expression changes.
- Gene Selection: Choose genes of interest for downstream applications.
- Clustering: Group genes with similar expression patterns.
DE_analysis_using_phantasus.R: An R script that:- Installs and configures the
phantasuspackage. - Launches an interactive Phantasus server.
- Guides users through key steps of differential gene expression analysis.
- Installs and configures the
Ensure you have the following:
- R (version 4.0 or higher recommended)
- RStudio (optional, but highly recommended)