Registration required

Course Summary:

The Bioinformatics Support Hub has designed this hands-on teaching series for researchers interested in learning the basic steps for re-analysis of publicly available bulk-RNAseq data. You will learn basic concepts concerning genomic data annotation and vocabulary, where to find bulk RNAseq data to re-analyze, how to perform differential gene analysis in RStudio and with point-click proprietary software, how to visualize your results, how to find transcription factors that may be regulating differentially expressed genes, and finally different approaches to perform gene pathway analysis.

Registration for October sessions will open at the end of September. 

Session 6. Transcription Factor Analysis with TRANSFAC

By using MATCH suite package we will identify transcription factors and their combinations that regulate the differentially expressed genes previously found in session. Explore the functional enrichment of your gene set, find only transcription factors (TFs) expressed in the tissue of your interest, filter the predicted TFs by those intersecting with conservative regions of the genome, and much more!

Attendees of this session will learn:

• How to run a transcription factor analysis in TRANSFAC

Details:

Target audience: These classes are meant for novices in bulk RNAseq analysis, with none to minimal knowledge in R programming.

Seating – in-person classes are limited to 16 places.

Registrations - open to all interested. However, seating will be on a “first come, first served” basis.

Recording – we will record the sessions so you can follow asynchronously.

Series Program