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Gene Set Analysis and
Visualization Workshop
Part II: Visualization
Svetlana Frenkel, PhD
Visualization of the gene set
analysis results
Enrichment Map
Cytoscape can read network/pathway files
written in the following formats:
Simple interaction file (SIF or .sif format)
Nested network format (NNF or .nnf format)
Graph Markup Language (GML or .gml format)
XGMML (extensible graph markup and modelling
language)
SBML
BioPAX
PSI-MI Level 1 and 2.5
GraphML
Delimited text
Excel Workbook (.xls, .xlsx)
Cytoscape.js JSON 2
GSEA result example
3
Transfer the GSEA result to Cytoscape
Cytoscape has to be installed and launched!
4
GSEA result in the Cytoscape default
style
Control
panel
Table
panel
Results
panel
5
Step 1: change labels
6
Step 2: Change scale and rotate
7
Step 3.1: Change node
presentation parameters
8
Step 3.2: Change edges
presentation parameters
9
Step 4: Change node size
10
Step 5: Node groups
11
Step 6: Change or remove label
12
Step 7: Create text annotation
13
Result
14
Change the network style
15
Step 8: change edges width
16
Step 9: set the custom edge colors
17
Final result
18
Image exporting options
19
Visualization of Enrichr result
Cytoscape options for creating networks:
• Import fixed-format network files
• Import networks from unformatted table files
Enrichment Map plugin options:
• Create network from GSEA result
• Create network from generic or gProfiler result
• Create network from DAVID, BinGO or Great
result
20
Category Term Count % PValue Genes
List
Total
Pop
Hits
Pop
Total
Fold
Enrichme
nt
Bonferron
i Benjamini FDR
GOTERM_
BP_DIRECT
GO:0060070~can
onical Wnt
signaling pathway 12 0.21 3.21E-17
WNT2, NDP, LRP6, LEF1,
HOXB9, LRRK2, MYC,
AXIN1, CTNNB1, LRP5,
APC, DVL1 40 83 16792 60.69 3.25E-14 3.25E-14 5.08E-14
GOTERM_
CC_DIRECT
GO:1990909~Wnt
signalosome 7 0.12 2.94E-14
WNT2, LRP6, LRRK2,
CTNNB1, LRP5, APC, DVL1 40 11 18224 289.92 4.32E-12 4.32E-12 3.50E-11
Term Overlap P-value
Adjusted
P-value
Old P-value
Old Adjusted
P-value
Z-score
Combined
Score
Genes
canonical Wnt signaling
pathway involved in
negative regulation of
apoptotic process
24/371 6.27E-32 1.88E-28 4.61E-27 1.38E-23 -5.11 367.33
LRRK2;LEF1;AXIN1;LRP5;HMGA2;CIB1;H
SPD1;LRP6;ZNF16;HCK;HOXB9;IRAK1;UB
B;APC;TRAF6;MYC;DVL1;UBC;BCL2;CD27
;CTNNB1;NDP;WNT2;UBA52
canonical Wnt signaling
pathway involved in
positive regulation of
apoptotic process
21/279 5.26E-29 7.88E-26 1.18E-24 1.78E-21 -4.35 283.64
LRRK2;LEF1;DAB2IP;AXIN1;LRP5;HMGA2
;TNF;HSPD1;LRP6;HOXB9;UBB;APC;TRAF
6;MYC;DVL1;UBC;CTNNB1;NDP;HRG;WN
T2;UBA52
Visualization of Enrichr resultDAVIDEnrichr
21
Visualization of Enrichr/DAVID
result 1
22
Visualization of Enrichr/DAVID
result 2
23
Visualization of Enrichr/DAVID
result 3
24
Visualization of Enrichr/DAVID
result 4
25
Visualization of Enrichr/DAVID
result 5
26
Enrichr result in the default style
27
Change node label, color and size
28
Select nodes from the table
29
Custom styles for node groups and genes
Signaling pathways
Other functions
CDC20 activity
DefensinsLigand-
binding
Custom styles for nodes:
• Diamond glyph – MAPK signaling
• Triangle glyph – FGFR signaling
• Red border – Apoptosis and/or TP53 activity
Custom styles for edges:
• Teal + Transparency=200 for all edges contain NFKB2
• Pink + Transparency=200 for all edges contain AXIN1
(Transparency=30 for all other edges) 30
Enrichr results example
• Enrichr output using four gene set libraries:
GO biological process, GO molecular
function, KEGG, Reactome
• Removed all gene sets larger than 700 and
smaller than 10 genes
• 2083 pathways
• 1939 significant with q-value<0.1
• 1823 significant with q-value<0.05
• 1335 significant with q-value <0.01
31
Enrichr results example:
1939 significant with q-value<0.1
32
Style tuning: node
labels are removed,
node shape is linked to
the gene set description
(i.e. library)
Enrichr results example:
1335 significant with q-value <0.01
Node size is linked to
the number of
overlapped genes in
gene set
Node color is linked
to the q-value
33
Enrichr results example:
1335 significant with q-value <0.01
Custom edge color
34
Layouts
35
Layout examples
36

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Gene Set Analysis and Visualization Workshop. Part II: Visualization

  • 1. Gene Set Analysis and Visualization Workshop Part II: Visualization Svetlana Frenkel, PhD
  • 2. Visualization of the gene set analysis results Enrichment Map Cytoscape can read network/pathway files written in the following formats: Simple interaction file (SIF or .sif format) Nested network format (NNF or .nnf format) Graph Markup Language (GML or .gml format) XGMML (extensible graph markup and modelling language) SBML BioPAX PSI-MI Level 1 and 2.5 GraphML Delimited text Excel Workbook (.xls, .xlsx) Cytoscape.js JSON 2
  • 4. Transfer the GSEA result to Cytoscape Cytoscape has to be installed and launched! 4
  • 5. GSEA result in the Cytoscape default style Control panel Table panel Results panel 5
  • 6. Step 1: change labels 6
  • 7. Step 2: Change scale and rotate 7
  • 8. Step 3.1: Change node presentation parameters 8
  • 9. Step 3.2: Change edges presentation parameters 9
  • 10. Step 4: Change node size 10
  • 11. Step 5: Node groups 11
  • 12. Step 6: Change or remove label 12
  • 13. Step 7: Create text annotation 13
  • 15. Change the network style 15
  • 16. Step 8: change edges width 16
  • 17. Step 9: set the custom edge colors 17
  • 20. Visualization of Enrichr result Cytoscape options for creating networks: • Import fixed-format network files • Import networks from unformatted table files Enrichment Map plugin options: • Create network from GSEA result • Create network from generic or gProfiler result • Create network from DAVID, BinGO or Great result 20
  • 21. Category Term Count % PValue Genes List Total Pop Hits Pop Total Fold Enrichme nt Bonferron i Benjamini FDR GOTERM_ BP_DIRECT GO:0060070~can onical Wnt signaling pathway 12 0.21 3.21E-17 WNT2, NDP, LRP6, LEF1, HOXB9, LRRK2, MYC, AXIN1, CTNNB1, LRP5, APC, DVL1 40 83 16792 60.69 3.25E-14 3.25E-14 5.08E-14 GOTERM_ CC_DIRECT GO:1990909~Wnt signalosome 7 0.12 2.94E-14 WNT2, LRP6, LRRK2, CTNNB1, LRP5, APC, DVL1 40 11 18224 289.92 4.32E-12 4.32E-12 3.50E-11 Term Overlap P-value Adjusted P-value Old P-value Old Adjusted P-value Z-score Combined Score Genes canonical Wnt signaling pathway involved in negative regulation of apoptotic process 24/371 6.27E-32 1.88E-28 4.61E-27 1.38E-23 -5.11 367.33 LRRK2;LEF1;AXIN1;LRP5;HMGA2;CIB1;H SPD1;LRP6;ZNF16;HCK;HOXB9;IRAK1;UB B;APC;TRAF6;MYC;DVL1;UBC;BCL2;CD27 ;CTNNB1;NDP;WNT2;UBA52 canonical Wnt signaling pathway involved in positive regulation of apoptotic process 21/279 5.26E-29 7.88E-26 1.18E-24 1.78E-21 -4.35 283.64 LRRK2;LEF1;DAB2IP;AXIN1;LRP5;HMGA2 ;TNF;HSPD1;LRP6;HOXB9;UBB;APC;TRAF 6;MYC;DVL1;UBC;CTNNB1;NDP;HRG;WN T2;UBA52 Visualization of Enrichr resultDAVIDEnrichr 21
  • 27. Enrichr result in the default style 27
  • 28. Change node label, color and size 28
  • 29. Select nodes from the table 29
  • 30. Custom styles for node groups and genes Signaling pathways Other functions CDC20 activity DefensinsLigand- binding Custom styles for nodes: • Diamond glyph – MAPK signaling • Triangle glyph – FGFR signaling • Red border – Apoptosis and/or TP53 activity Custom styles for edges: • Teal + Transparency=200 for all edges contain NFKB2 • Pink + Transparency=200 for all edges contain AXIN1 (Transparency=30 for all other edges) 30
  • 31. Enrichr results example • Enrichr output using four gene set libraries: GO biological process, GO molecular function, KEGG, Reactome • Removed all gene sets larger than 700 and smaller than 10 genes • 2083 pathways • 1939 significant with q-value<0.1 • 1823 significant with q-value<0.05 • 1335 significant with q-value <0.01 31
  • 32. Enrichr results example: 1939 significant with q-value<0.1 32 Style tuning: node labels are removed, node shape is linked to the gene set description (i.e. library)
  • 33. Enrichr results example: 1335 significant with q-value <0.01 Node size is linked to the number of overlapped genes in gene set Node color is linked to the q-value 33
  • 34. Enrichr results example: 1335 significant with q-value <0.01 Custom edge color 34