Over the past decade, there has been significant advancement in single cell technologies which have improved our understanding of tissue heterogeneity in fields like oncology and developmental biology. The large amount of data generated requires deep dives to uncover biological insights, making bioinformatics crucial skills in single cell analysis. However, due to the large computing power required and complex data structures, single cell data analysis can appear intimidating, especially for those new to the field.
To support single cell sequencing users without bioinformatics background in building up their own data analysis capability, Singleron biotechnologies is offering a part-time bioinformatics beginner course for single cell data analysis covering the following topics:
- Linux basics and CeleScope
- R basics and single cell data exploration
- Cell type annotation
- Cell trajectory
- Cell-cell communication
- Gene enrichment analysis
The course includes both in-person lectures and tutorials supported by Singleron’s bioinformatics team. The lectures provide an overview of up-to-date single cell technologies and analysis methods, while the tutorials include hands-on sessions which will allow researchers to set up their own single cell analysis workflow with publicly available tools. A certificate of participation is awarded upon successful completion.
The 8-week course will take place with in-person and online sessions from early October, 2023.
The computing will take place in our AWS cloud server and your own computer. To ensure a smooth data exploration, we recommend your computer has >= 16 GB RAM.
Any questions? Please contact us at info@singleronbio.com (pricing information available upon request).
Please complete the form below to register your interest:
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