Microarray Data Analysis Course

A microarray is a laboratory tool used to detect the expression of thousands of genes at once or to genotype multiple regions of a genome. It's a key technique in genomics and molecular biology.

Microarray data analysis is the process of extracting meaningful biological information from raw microarray experiment data. It involves several computational and statistical steps to assess gene expression patterns, detect differentially expressed genes, and understand underlying biological processes.

ArrayGen Technologies has a strong reputation for its expertise in microarray array designing and data analysis, especially across the Affymetrix, Agilent, and Illumina platforms.

Microarray Analysis
This module covers the essentials of microarray gene expression analysis, including experimental design, data normalization, differential gene expression, visualization techniques, and biological interpretation using bioinformatics tools such as GEO and Limma.

By the end of this module, learners will be able to understand microarray principles, preprocess and analyze gene expression data, identify differentially expressed genes, visualize results effectively, interpret biological significance, and apply relevant bioinformatics tools and databases.


👉 Enroll now and take the first step toward a future in data-driven biology and beyond.

## 10% Discount if you register before 15th October, 2025. Hurry up!!

Course Information

Course

Gene Expression [ Platform - Affymetrix] if other platform kindly Inquire

Duration

Online - 15 Days Training [ 2 Hours Daily [ Monday To Friday ] ]

Slots

Our working Time is 9:00 AM to 6:00 PM Indian Time Available slots - 9:00 AM to 11:00 AM / 11:00 AM to 1:00 PM / 2:00 PM to 4:00 PM / 4:00 PM to 6:00 PM
For training slots after 6 PM or before 9 am as well as weekends training kindly mention during registration accordingly it will be scheduled.

Mode

👉 For online training candidate have to install ZOOM (with remote control on candidate system which makes 100% interactive)
👉 Run time video recording candidate can make as well as pdf manual will be provided for future reference.
👉 All our training is 100% practical and 100% industrial and 100% interactive which provides same as offline learning.
👉 For doubt clear there will be extra support will be provided based on the requirement.
👉 Certificate will be provided
Training Fees

Raw Data

Candidate can include maximum 4 datasets from affymetrix platform of their own during training. Publication standards figures and tables will be generated.

Platform

Affymetrix

Organism

Plant/Bacteria/Animalia/Eukaryotic/Prokaryotic (any orginism)

Module - 1

1 Advanced Bioinformatics (In-depth Industry exposure & Hands-on 100% Practical Exposure with realtime examples)

Topics

    📘 Introduction to Bioinformatics
    - Overview of bioinformatics and its applications
    - Key concepts in computational biology
    - Role of bioinformatics in genomics, transcriptomics, and proteomics

    📘 Understanding Microarray and Genomics Bioinformatics
    - Basics of Microarray Understanding
    - Different application of Microarray
    - Overview of Microarray data formats
    - Introduction to pipelines and tools for Microarray data analysis

    📘 Databases & Data Retrieval (NCBI and UCSC)
    - Learning how to retrieve biologically correct data
    - Performing complete batch retrieval (e.g., whole exome)
    - NCBI: understanding gene-level data retrieval
    - UCSC: handling large-scale data retrieval
    - UCSC Genome Browser and Table Browser usage
    - Batch Coordinate Retrieval and Genomic Data downloads
    - GFF/GTF gene annotation formats and how to retrieve them
    - Using BLAT for sequence-based search and alignment

    📘 Gene Prediction and Functional Annotation
    - Gene prediction approaches and tools
    - Functional annotation using Gene Ontology (GO)
    - Pathway analysis using KEGG, Reactome
    - Interpreting gene sets and biological relevance

    📘 Standalone/Offline BLAST for Large-Scale Genomic Data
    - Installing and setting up standalone BLAST
    - Running local BLAST for batch sequence alignment
    - Applications in genome-wide homology searches
    - Custom BLAST databases and performance optimization

    📘 PCR Primer Designing and Specificity Check
    - Designing accurate primers for PCR amplification
    - Tools: Primer3, NCBI Primer-BLAST
    - Checking primer specificity using genome-wide BLAST
    - Avoiding non-target amplification through design best practices

Module - 2

Microarray (Gene Expression Profiling) Data Analysis

Topics

    📘 Introduction to Microarray
    - Microarray Techniques: Detailed Understanding
    - Microarray Probe Designing

    📘 Microarray Data Analysis with R
    Getting Started with R
    - Introduction to R for Microarray Data Analysis
    - Hands-On Practical Sessions using Real Datasets

    Data Preprocessing & DEG Identification
    - Quality Control of Microarray Data
    - Normalization Techniques (e.g., RMA, quantile)
    - Differentially Expressed Genes (Upregulated & Downregulated)

    Data Visualization with R
    - Heatmap
    - Volcano Plot
    - PCA and Clustering Plots
    - Additional Visualizations for Gene Expression

    📘 Functional Analysis
    - Pathway & Gene Ontology (GO) Enrichment Analysis
    - Interpretation of enriched GO terms using tools like DAVID and clusterProfiler

    📘 Pathway Network Analysis
    - Using StringDB for Protein-Protein Interaction (PPI) Network Construction
    - Network Visualization and Analysis using Cytoscape
    - Pathway Mapping using KEGG Mapper for all DEG genes

    📘 Understanding R programming
    - R for statistical computing and data visualization
    - Using Bioconductor for bioinformatics workflows
    - Creating interactive plots with ggplot2
    - Performing statistical analysis on genomic data

Preparation

- Microarray: https://en.wikipedia.org/wiki/Microarray
- NCBI: https://www.ncbi.nlm.nih.gov/
- UCSC : https://genome.ucsc.edu/

Instructor

Industry Experienced

Target Audiance

This course is designed for graduate students, postdoctoral researchers, and professionals working in the fields of conservation biology, evolutionary genomics, and population genetics or any life sciences who are interested in applying genomic tools to real-world conservation challenges.

Contact

Please write us at info@arraygen.com or call or whatsapp us on mobile +91-9673625446 if you need any clarification or for any custom training based on candidate reference paper or candidate own content/tools/any other platform Agilent or Iillumina or any other application