Introduction to functional analysis of omics data: Overrepresentation Analysis (ORA) using public online tools.
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Introduction to functional analysis of omics data: Overrepresentation Analysis (ORA) using public online tools. In-Person
High-throughput technologies (e.g., genomics, transcriptomics, proteomics) are widely used to monitor the activity of thousands of genes in a single experiment. These result in hundreds or thousands of differentially expressed genes leaving the researcher with the challenging task of understanding their biological relevance. Due to its simplicity, well-established statistical model, and ease of implementation, enrichment through Overrepresentation Analysis (ORA) is commonly used to interpret lists of differentially expressed genes and it is also available through many online tools. This introductory session will cover:
- what are the components of an ORA: gene list, cutoffs, background, or reference set, etc.
- statistical vs biological (or study) relevant results
- overview of two online tools: WebGestalt, DAVID
- visualization and presentation of results
Attendees to this session may be also interested in these sessions:
Analysis of differential gene expression of bulk RNA-seq data using “DESeq2” in RStudio.
Related LibGuide: Bioinformatics Tools by Rolando Garcia-Milian
- Date:
- Thursday, March 24, 2022
- Time:
- 10:30am - 12:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- SHM L 111, Cushing/Whitney Medical Library, 333 Cedar Street
- Campus:
- Medical School
- Categories:
- Bioinformatics
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