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.
Educator
Dr. Sweta Tripathi
Difficulty
Intermediate
Mode
Live
Language
English
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.
What if I missed live sessions? Will this be recorded?
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.
What about the refund of the course?
Please read refund policy in refund policy section page.
What Prerequisites knowledge required to join the course?
No, any short Prerequisites knowledge you required to join the course.