RNA-seq reanalysis from SRA is now faster and more accessible thanks to Lifebit CloudOS. In this webinar recap, we guide you through the exact steps to get started.
In this 45 minute webinar, Lifebit co-founder and Chief Technological Officer, Dr. Pablo Prieto, explains the fundamentals of re-analysing RNA-Seq public data from Sequence Read Archive (SRA) and discusses some common questions and issues that arise from these analyses.
This demo walks through an end-to-end RNA-seq reanalysis from SRA, starting from public dataset selection to final results.
Step-by-Step RNA-seq Reanalysis from SRA Using CloudOS
Learn how to use Lifebit’s CloudOS platform to:
- Read count with STAR and R
- Perform differential gene expression analysis with Kallisto and Sleuth
Check the video here.
If you’re planning an RNA-seq reanalysis from SRA, this session will equip you with everything needed for reproducible, scalable research.
Useful links with information covered during the webinar:
- Link to register to Lifebit and try pipelines with example parameters
- Link to RNA-Seq Kallisto pipeline public code in Github
- Link to RNA-Seq Star pipeline public code in Github
- Link to study used in SRA
- Link to study used in GEO
- Link to Jupyter notebooks: coming soon
Aired November 23rd, 2018.
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