From Transcription Factors, Master Regulators and Disease Biomarkers to Omics Data Analysis
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From Transcription Factors, Master Regulators and Disease Biomarkers to Omics Data Analysis In-Person
Following an overview of the TRANSFAC® and PROTEOME™ databases – focusing on transcription factors, signaling pathways and disease biomarkers – we will demonstrate how these data can be exploited for prediction of transcription factor binding sites (TFBSs), composite modules (CMs) and master regulators (with MATCH™ Suite and the tools of the geneXplain® platform). The session will showcase practical workflows for analyzing differential gene expression data, including RNA-seq and other omics datasets.
You will learn how to
- identify known transcription factors (TFs) regulating selected genes
- map genes to biological pathways
- find genes associated with specific diseases
- predict enriched TFBSs and CMs in regulatory sequences
- analyze human genes for tissue-specific transcription factors
- perform upstream analysis through integrated promoter–pathway analysis
Requirements: No prior bioinformatics experience required.
- Date:
- Tuesday, October 6, 2026
- Time:
- 10:00am - 11:00am
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Zoom Session -Medical (online only_1)
- Campus:
- Medical School
- Categories:
- Bioinformatics
Event Organizer
Rolando Garcia-Milian