*Online only* Gene Expression Analysis – from Transcription Factors to Master Regulators
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*Online only* Gene Expression Analysis – from Transcription Factors to Master Regulators In-Person
Make the most of your Yale library subscription for
TRANSFAC® 2.0 and PROTEOME™
Alexander Kel, Ph. D. and Volker Matys, Dr. rer. nat., geneXplain GmbH
After an overview on the TRANSFAC® and PROTEOME™ databases by Dr. Volker Matys with focus on transcription factors, signaling pathways and disease biomarkers, Dr. Alexander Kel will demonstrate, how the data in those databases can be used by the included tools for analysis of differential gene expression, e.g. from RNA-seq or other omics data.
You will learn, how to:
- find genes associated with a particular disease.
- map genes to pathways.
- search for known binding factors (TF) for genes.
- use known TF-binding sites to predict TFBSs in regulatory sequences.
- analyze genes for tissue-specific transcription factors.
- conduct upstream analysis (integrated promoter-pathway analysis)
- explain differential gene expression by common master regulators.
Requirements: No previous Bioinformatics knowledge required.
- Date:
- Monday, April 28, 2025
- Time:
- 10:00am - 12:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Zoom Session -Medical (online only_1)
- Campus:
- Medical School
- Categories:
- Bioinformatics
Sofia Fertuzinhos
