Internship Project-Based Live All Levels Dr. Omics

MicroArray Data Analysis Internship

Unlocking the power of high-throughput analysis through advanced microarray techniques and bioinformatics integration.

  • 5.0/5
  • English
  • Updated Aug 2026
MicroArray Data Analysis Internship

About this internship

This comprehensive course bridges the gap between traditional molecular biology and modern genomic data analysis. Participants will delve into the fundamentals of Microarray technology, understanding its pivotal role in gene expression profiling, SNP genotyping, and comparative genomic hybridization. Throughout the curriculum, we leverage Artificial Intelligence (AI)-driven analytical tools to process complex biological datasets, ensuring precision in identifying biomarkers. Designed for life science professionals and students, this course emphasizes the Search Engine Optimization (SEO) of scientific findings—teaching you how to curate and present your research data for maximum visibility and impact in the digital scholarly landscape. You will gain hands-on experience in normalization, quality control, and the interpretation of high-density arrays. By integrating computational workflows with wet-lab principles, this course prepares you for the high-demand field of precision medicine and clinical diagnostics. Elevate your research capabilities and learn to translate raw molecular signals into actionable biological knowledge.

What you will achieve

Master the end-to-end workflow of microarray chip design and experimental execution.
Apply AI and Machine Learning algorithms to cluster gene expression patterns accurately.
Perform differential expression analysis using industry-standard statistical software.
Optimize your scientific publications using SEO best practices to enhance the discoverability of your genomic research.
Interpret complex biological datasets to identify potential therapeutic targets.

The project work

Hands-on implementation of everything covered in the sessions
Industry-standard tools and workflows
Project documentation and a final presentation
Code review and optimisation sessions with your mentor

Skills you will gain

Genomics Bioinformatics Normalization Transcriptomics Visualization Genotyping Biostatistics Data-Mining
Certification

Available

Issued by Dr. Omics

Internship curriculum

1 module

  • T1 = Introduction to Microarray
  • T2 = Microarray Data Downloading
  • T3 = Microarray Data Processing Pipeline up to Normalization
  • T4 = Microarray Data Analysis Pipeline up to Differentially Expressed Genes (DEGs)
  • T5 = Annotation of DEGs
  • T6 = Enrichment Analysis
  • T7 = Network Analysis
  • T8 = Volcano Plot Analysis
  • T9 = Heatmap Analysis
  • T10 = Interpretation and Visualization of Microarray Results

What you need to start

  • Basic understanding of molecular biology and genetics.
  • Foundational knowledge of statistical concepts.
  • Familiarity with basic data handling tools (Excel or R).

Who this internship is for

  • Molecular biology students and researchers.
  • Bioinformatics professionals looking to specialize in genomic arrays.
  • Clinical laboratory scientists aiming for precision diagnostics.
  • Life science writers and researchers focused on increasing their digital scientific authority.
INR

₹5000

₹10000 50% off
USD

$50

$100 50% off

Indian learners pay in INR; international learners are billed in USD.

Enroll for International Students

Paying from outside India? Use this link to complete your payment.

Active batch
Open for enrolment
01092026 MicroArray Data Analysis Internship
  • Starts 07 Sep 2026
  • Ends 21 Sep 2026
  • Timing 7:00 PM – 8:00 PM
  • Days Mon, Tue, Wed, Thu, Fri
  • Platform MS Teams
This internship includes
  • Format Live
  • Level All Levels
  • Language English
  • Modules 1
  • Live project Yes
  • Certificate Yes
  • Provider Dr. Omics
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