No products in the cart.
USD $0.00
Cart
● Recorded Workshop
Genomic Data Science
Turn Genomes into Decisions: Data Science for Research & Industry Breakthroughs.
Registration Closes In
00Days
00Hours
00Mins
00Secs
About This Course
Join leading experts to master the latest tools and techniques in genomic data analysis, bridging the gap between academic research and real-world applications.
AIM
To empower with advanced genomic data science skills for actionable insights and innovation in research and industry applications.
Workshop Objectives
- Introduce key concepts and tools in genomic data science.
- Equip participants with practical skills in genomic data analysis.
- Foster the integration of AI and machine learning in genomics research.
- Enable participants to develop and deploy genomic data pipelines.
- Provide hands-on experience in visualizing and interpreting genomic data.
Workshop Structure
Day 1: Introduction to Genomic Data Science and Tools
- Overview of genomic data science and its applications in research and industry
- Introduction to key genomic data analysis tools and software
- Data preprocessing: Cleaning and structuring genomic datasets
Hands On:
- Data exploration and basic analysis using popular tools
- Real-world case studies highlighting genomic data applications
Day 2: Advanced Techniques in Genomic Data Analysis
- In-depth analysis of genomic sequencing data (RNA-Seq, DNA-Seq)
- Integrating AI and machine learning in genomic analytics
Hands On:
- Implementing AI algorithms for genomic data insights
- Feature selection, data normalization, and statistical analysis in genomics
- Exploring genomic data visualization techniques and their significance
Day 3: Building Genomic Data Pipelines and Real-World Applications
- Introduction to building scalable genomic data pipelines
- Automating genomic data analysis workflows for large-scale projects
Hands On:
- Developing and deploying genomic data pipelines
- Real-world applications: From research to clinical integration
- Final discussion: Leveraging genomic data science for impactful research and industry outcomes
Who Should Enroll?
- PhD Scholars in Genomics, Bioinformatics, and related fields.
- Industry Professionals working in genomic data analysis and bioinformatics.
- Academics and Researchers seeking to integrate advanced data science techniques in genomics.
- Data Scientists and AI professionals interested in applying their skills to genomic data.
Join Our Hall of Fame
Take your research to the next level with NanoSchool.
Publication
Get published in prestigious open-access journals.
Excellence
Become part of an elite research community.
Networking
Connect with global researchers and mentors.
Recognition
Worth ₹20,000 in academic value.
Student Feedback
★★★★★
AI and Ethics: Governance and Regulation
Sandra Wingender •