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Related Experiment Videos

Galahad: a web server for drug effect analysis from gene expression.

Griet Laenen1, Amin Ardeshirdavani1, Yves Moreau2

  • 1Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, 3001, Belgium iMinds Medical IT Department, KU Leuven, Leuven, 3001, Belgium.

Nucleic Acids Research
|May 6, 2015
PubMed
Summary

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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

16.8K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
16.8K

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Galahad is a free web application that analyzes drug effects using gene expression data. It helps identify drug targets, understand mechanisms of action, and predict off-target effects through network-based analysis.

Area of Science:

  • Bioinformatics
  • Pharmacology
  • Computational Biology

Background:

  • Microarray data analysis is crucial for understanding drug effects.
  • Identifying drug targets and mechanisms of action requires sophisticated tools.
  • Existing methods may lack intuitive interfaces or comprehensive analysis capabilities.

Purpose of the Study:

  • To present Galahad, a web-based application for analyzing drug effects using gene expression data.
  • To provide an intuitive platform for researchers to investigate pharmacological impacts.
  • To facilitate the identification of drug targets, elucidation of mechanisms, and understanding of off-target effects.

Main Methods:

  • Galahad utilizes a network-based analysis of gene expression data.
  • It accepts raw Affymetrix human microarray data from treatment versus control experiments.

Related Experiment Videos

  • Quality control, data exploration, and differential expression computation are integrated.
  • Alternatively, pre-computed differential expression values can be uploaded.
  • Drug target prioritization is achieved by integrating gene expression data with a functional protein association network.

    • Main Results:

    • Galahad enables the calculation and visualization of drug target prioritization.
    • Pathway and disease enrichment analyses can be performed using differential expression values.
    • The application provides quality control and data exploration tools for microarray data.
    • It facilitates the identification of candidate targets, mode of action, and off-target effects.

    Conclusions:

    • Galahad offers a user-friendly, web-based solution for comprehensive drug effect analysis.
    • The integration of network-based methods enhances the insights gained from gene expression data.
    • The tool is freely accessible, promoting wider research in drug discovery and pharmacology.