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Genome Biology & Applied Bioinformatics Mehmet Tevfik DORAK, MD PhD

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Presentation on theme: "Genome Biology & Applied Bioinformatics Mehmet Tevfik DORAK, MD PhD"— Presentation transcript:

1 Genome Biology & Applied Bioinformatics Mehmet Tevfik DORAK, MD PhD
Gene Sets Mehmet Tevfik DORAK, MD PhD

2 Schedule

3 How to Generate a Gene Set Gene Set Enrichment Analysis (GSEA)
Outline How to Generate a Gene Set (NOT the nearest genes) Gene Set Enrichment Analysis (GSEA) (DAVID, GSEA, WebGestalt, ToppGene, HumanMine)

4 Gene Set Enrichment Possibilities
Gene Ontology (GO Terms) Transcription Factor Binding Motifs miRNA targets Belonging to a Defined Group (Molecular Signatures)

5 DAVID Link: https://david.ncifcrf.gov/home.jsp
Nature Protocol paper:

6 DAVID Link:

7 DAVID Link:

8 DAVID Default options are selected. Explore other options.
Link:

9 DAVID You have done a pathway analysis.
Link:

10 GSEA Link:

11 GSEA/MSigDB Link:

12 GSEA/MSigDB Link:

13 Gene Ontology Link:

14 CTDbase Link: (Set Analyzer)

15 WebGestalt Link: WebGestalt: http://bioinfo.vanderbilt.edu/webgestalt
PAPER:

16 iGsea4Gwas Link:

17 HumanMine Links: HumanMine: List Analysis:

18 HumanMine Links: HumanMine: List Analysis:

19 iGsea4Gwas Links: iGsea4Gwas: http://gsea4gwas.psych.ac.cn
ADDITIONAL NOTE: PAPER:

20 MAGENTA (MATLAB) Link:

21 GSEA-SNP (R) Link:

22 Key Points - A gene set can be generated from a SNP list using the targets of each SNP’s effect - A gene set can be subject to many different types of enrichment of overlap analyses - Results of an enrichment (including pathway) analysis may help to gain insight into disease biology

23 … Looking forward …..

24 Course material: http://www.dorak.info/genbiol/course.html

25


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