Green Biotec UG Bremen Germany

Dr. Amir Hussain, Dr. Rehan Zafar

Microarray Analysis

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Paid

Description:

Embark on a comprehensive journey into microarray analysis with our intensive workshop designed for researchers, bioinformaticians, and data scientists eager to master this powerful genomic technique. Microarrays have been instrumental in advancing our understanding of gene expression, providing critical insights into gene regulation, disease mechanisms, and biological responses across diverse systems.

In this workshop, you’ll explore the core principles and advanced methodologies of microarray analysis, covering everything from raw data processing and quality assessment to differential expression analysis and functional interpretation. Through a combination of lectures, guided tutorials, and hands-on exercises, you’ll develop the skills to analyze and interpret microarray data using industry-standard tools.

Key Highlights:

Introduction to Microarrays

  • Understand the principles and applications of microarray technology.
  • Compare microarrays to other gene expression analysis methods.

Raw Data Processing and Quality Control

  • Assess the quality of microarray data.
  • Perform background correction and normalization to improve data accuracy.

Probe Annotation and Signal Extraction

  • Map microarray probes to genes and extract meaningful signal intensities.
  • Use popular tools to handle complex microarray datasets effectively.

Data Normalization and Batch Effect Correction

  • Apply various normalization methods to ensure accurate comparisons.
  • Identify and correct for batch effects using specialized tools.

Exploratory Data Analysis

  • Perform and interpret principal component analysis (PCA) on microarray data.
  • Create and analyze sample-to-sample correlation heatmaps.

Differential Expression Analysis

  • Conduct differential expression analysis to identify significant gene changes.
  • Interpret volcano plots and MA plots to visualize differential expression results.

Functional Enrichment Analysis

  • Perform Gene Ontology (GO) and pathway enrichment analysis.
  • Visualize enrichment results using tools like Enrichr or DAVID.

Advanced Analysis Techniques

  • Explore gene co-expression networks.
  • Conduct gene set enrichment analysis (GSEA) for hypothesis testing.

Who Should Attend:

This workshop is perfect for molecular biologists, geneticists, bioinformaticians, and researchers interested in gene expression analysis and functional genomics.

Harness the full potential of microarrays to uncover the complexities of gene expression. Join us for this in-depth workshop and elevate your genomic data analysis capabilities to new heights!

Event registration closed.
 

Date And Time

2024-10-13 @ 09:30 AM to
2024-10-13 @ 05:00 PM
 

Registration End Date

2024-10-12
 

Location

Online event
 

Event Types

 

Event Category

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