Microarray Technology & Data Analysis

This course provides a comprehensive understanding of microarray technology and equips students with the necessary skills to design and analyze microarray experiments. It combines theoretical knowledge with practical applications, preparing students to contribute to the rapidly evolving field of genomics and personalized medicine.

Registration

Educator

Dr. Sweta Tripathi

Difficulty

Intermediate

Mode

Live

language

Language

English

Payment
Paypal

About Course

This course provides a comprehensive understanding of microarray technology and equips students with the necessary skills to design and analyze microarray experiments. It combines theoretical knowledge with practical applications, preparing students to contribute to the rapidly evolving field of genomics and personalized medicine.

Microarray Technology & Data Analysis

Day-1

Introduction to Microarray Technology

  • Overview of microarray technology
  • Historical development and milestones
  • Applications of microarrays in various fields (genomics, proteomics, drug discovery, etc.)
  • Advantages and limitations of microarray technology

Day-2

Microarray Platforms and Experimental Design

  • Types of microarray platforms (DNA, RNA, protein)
  • Comparison of different microarray platforms
  • Experimental design considerations for microarray experiments
  • Sample preparation and labeling techniques

Day-3

Microarray Workflow and Data Acquisition

  • Workflow of a typical microarray experiment
  • Handling and processing of microarrays
  • Scanning and imaging techniques
  • Data acquisition and quality control measures

Day-4

Data Analysis and Interpretation

  • Preprocessing of microarray data (background correction, normalization, etc.)
  • Statistical analysis methods for identifying differentially expressed genes
  • Gene ontology and pathway analysis
  • Visualization and interpretation of microarray data

Day-5

Advanced Microarray Applications

  • Comparative genomic hybridization (CGH) arrays
  • ChIP-chip and ChIP-seq applications
  • MicroRNA expression profiling
  • Single-cell transcriptomics using microarrays

Day-6

Integration of Microarray Data with Other Omics Data

  • Integration of microarray data with next-generation sequencing data
  • Combining microarray data with proteomics and metabolomics data
  • Systems biology approaches for integrating multi-omics data

Day-7

Emerging Technologies in Microarray Field

  • Next-generation microarray technologies
  • Nanoarrays and miniaturization
  • Microfluidic-based microarrays
  • Single-molecule microarrays

Day-8

Microarray Experiment Design

  • Designing a microarray experiment
  • Sample preparation and labeling demonstration
  • Handling microarray platforms
  • Quality control measures for microarray experiments

Day-9

Practical Session 2 - Microarray Data Analysis

  • Preprocessing and normalization of microarray data
  • Statistical analysis of microarray data
  • Gene ontology and pathway analysis
  • Visualization and interpretation of microarray data

Day-10

Case Studies and Future Directions

  • Case studies highlighting the applications of microarray technology
  • Current challenges and future directions in microarray research
  • Role of microarrays in personalized medicine and precision oncology
  • Open discussion and Q&A session

Educator - Dr. Sweta Tripathi

Dr. Sweta Tripathi holds a PhD in Bioinformatics and is an esteemed professional in her field. She has successfully completed her BSc, MSc, MPhil, and PhD, specializing in the areas of botany and Bioinformatics. Dr. Tripathi possesses a profound passion for teaching, particularly in disciplines encompassing bioinformatics & biotechnology. Her extensive academic and industrial background has equipped her with diverse experiences and expertise.

Microarray Technology & Data Analysis

Mode - Online

Certificate Provided

Hours 15 Hours

Time 7:00 to 8:00 PM IST

Last Date available soon

Course Start Date available soon

Recorded lecture Provided after session

Certificate

FAQ

Session Joining link will be send to your register email on the day of session start you can join session by clicking joining link.

Yes! All of our Live sessions are recorded and you can access recorded session after live classes, recorded session link will be send to your respective email after live classes. recorded session will be available for 30 days after live classes

All Session are evening sessions time of session is between 7:00 to 8:00 PM IST.

Please read refund policy in refund policy section page.

No, any short Prerequisites knowledge you required to join the course.

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