Bulk RNA-seq has become routine for unbiased transcript/gene expression quantification in samples across multiple conditions. With the wealth of information available on public databases like the Gene Expression Omnibus (GEO), it may be tempting to incorporate the results of other studies into your own analysis. But how can you account for batch effects, or differences in the protocol or instrument used? What tools are available to ensure that you’re making the right comparisons?
During this webinar, Reuben Thomas from the Bioinformatics Core will walk you through common issues of bulk RNA-seq data, and help you think through the challenges to your analysis. Submit specific questions for consideration via email.
The Gladstone Data Science Training Program was started in 2018 to provide trainees with learning opportunities and hands-on workshops to improve their skills in bioinformatics and computational analysis. This program offers a series of workshops throughout the year to enable trainees to gain new skills and get support with their questions and data.