Wednesday June 25th 2025
13.50 – 15.20
Room 050
Are you working with single-cell RNA sequencing data or planning to soon?
This hands-on workshop is designed specifically for researchers, biologists, experimentalists and data analysts who are either new to scRNA-seq analysis or looking to strengthen their computational pipelines for data analysis skills.
Whether you’re just getting started or ready to take your analysis to the next level, this workshop will give you the tools and confidence to work smarter with scRNA-seq data.
By the end of this workshop you’ll be able to:
- Understand and explain the full scRNA-seq data analysis pipeline.
- Confidently apply the course analysis of scRNA-seq data from extraction to cluster maps and on other datasets.
- Recognize decision-making steps along the analysis pipeline and justify your choices.
- Define best practice for managing cellular resolution data.
Workshop requirements
A solid grasp of molecular biology (DNA, RNA, gene expression, PCR, etc.) will help you get the most out of the session. Some experience with command line interfaces (like Linux or Mac OS X) and basic knowledge of object-oriented programing in Python or R is recommended.
Please note: To be considered for a workshop place you MUST already have an approved place at The Festival of Genomics and Biodata.
Related Posts
Wednesday June 25th 2025
13.50 – 15.20
Room 050
Are you working with single-cell RNA sequencing data or planning to soon?
This hands-on workshop is designed specifically for researchers, biologists, experimentalists and data analysts who are either new to scRNA-seq analysis or looking to strengthen their computational pipelines for data analysis skills.
Whether you’re just getting started or ready to take your analysis to the next level, this workshop will give you the tools and confidence to work smarter with scRNA-seq data.
By the end of this workshop you’ll be able to:
- Understand and explain the full scRNA-seq data analysis pipeline.
- Confidently apply the course analysis of scRNA-seq data from extraction to cluster maps and on other datasets.
- Recognize decision-making steps along the analysis pipeline and justify your choices.
- Define best practice for managing cellular resolution data.
Workshop requirements
A solid grasp of molecular biology (DNA, RNA, gene expression, PCR, etc.) will help you get the most out of the session. Some experience with command line interfaces (like Linux or Mac OS X) and basic knowledge of object-oriented programing in Python or R is recommended.
Please note: To be considered for a workshop place you MUST already have an approved place at The Festival of Genomics and Biodata.
Related Posts
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