ShinyGO v0.50: Gene Ontology Enrichment Analysis + more

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Welcome to ShinyGO! Just paste your gene list to get enriched GO terms and othe pathways for over 200 plant and animal species. In addition, it also produces KEGG pathway diagrams with your genes highlighted, hierarchical clustering trees and networks summarizing overlapping terms/pathways, protein-protein interaction networks, gene characterristics plots, and enriched promoter motifs. See example outputs below:














Download table with gene IDs

Select KEGG pathways in the left to display pathway diagrams.




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ShinyGO tries to match your species with the 115 archaeal, 1678 bacterial, and 238 eukaryotic species in the STRING server and send the genes. If it is running, please wait until it finishes. This can take 5 minutes, especially for the first time when iDEP downloads large annotation files.



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For feedbacks, please contact us, or visit our homepage. For details, please see our manuscript and a detailed demo. ShinyGO shares many functionalities and databases with iDEP. Source code at GitHub. Previous versions of ShinyGO for reproducibile research: ShinyGO V0.41, based on database derived from Ensembl BioMart version 91, archived on July 11, 2018
Based on gene onotlogy (GO) annotation and gene ID mapping of 167 animal and 53 plant genomes in Ensembl BioMart release 93 as of 7/15/2018. Additional pathway data are collected for some model species from difference sources.

Sources for human pathway databases:

Type

Subtype/Database name

#GeneSets

Source

Gene Ontology

Biological Process (BP)

15796

Ensembl 92

 

Cellular Component (CC)

1916

Ensembl 92

 

Molecular Function (MF)

4605

Ensembl 92

KEGG

KEGG

327

Release 86.1

Curated

Biocarta

249

Whichgenes 1.5

 

GeneSetDB.EHMN

55

GeneSetDB

 

Panther

168

1.0.4

 

HumanCyc

240

pathway Commons V9

 

INOH

576

pathway Commons V9

 

NetPath

27

pathway Commons V9

 

PID

223

pathway Commons V9

 

PSP

327

pathway Commons V9

 

Recon X

2339

pathway Commons V9

 

Reactome

2010

V64

 

Wiki

457

20180610

TF.Target

CircuitsDB.TF

829

V2012

 

ENCODE

181

V70.0

 

Marbach2016

628

regulatorycircuits Release 1.0

 

RegNetwork.TF

1400

7/1/2017

 

TFacts

428

Feb. 2012

 

tftargets.ITFP

1926

tftargets May,2017

 

tftargets.Neph2012

16476

tftargets May,2017

 

tftargets.TRED

131

tftargets May,2017

 

TRRUST

793

V2

miRNA.Targets

CircuitsDB.miRNA

140

V. 2012

 

GeneSetDB.MicroCosm

44

GeneSetDB

 

miRDB

2588

V 5.0

 

miRTarBase

2599

V 7.0

 

RegNetwork.miRNA

618

V. 2015

 

TargetScan

219

V7.2

MSigDB.Computational

Computational gene sets 

858

MSigDB 6.1

MSigDB.Curated

Literature

3465

MSigDB 6.1

MSigDB.Hallmark

hallmark

50

MSigDB 6.1

MSigDB.Immune

Immune system

4872

MSigDB 6.1

MSigDB.Location

Cytogenetic band

326

MSigDB 6.1

MSigDB.Motif

TF and miRNA Motifs

836

MSigDB 6.1

MSigDB.Oncogenic

Oncogenic signatures

189

MSigDB 6.1

PPI

BioGRID

15542

3.4.160

 

CORUM

2178

02.07.2017

 

BIND

3807

pathway Commons V9

 

DIP

2630

pathway Commons V9

 

HPRD

7141

pathway Commons V9

 

IntAct

11991

pathway Commons V9

Drug

GeneSetDB.MATADOR

266

GeneSetDB

 

GeneSetDB.SIDER

473

GeneSetDB

 

GeneSetDB.STITCH

4616

GeneSetDB

 

GeneSetDB.T3DB

846

GeneSetDB

 

SMPDB

699

pathway Commons V9

 

CTD

8758

pathway Commons V9

 

Drugbank

2563

pathway Commons V9

Other

GeneSetDB.CancerGenes

23

GeneSetDB

 

GeneSetDB.MethCancerDB

21

GeneSetDB

 

GeneSetDB.MethyCancer

54

GeneSetDB

 

GeneSetDB.MPO

3134

GeneSetDB

 

HPO

6785

May,2018

Total:

 

140,438

 

Sources for mouse pathway databases:

 

 

 

 

Type

Source

#Sets

Note

Co-expression

Literature

8,742

Differentially expressed genes from 2526 studies

 

MSigDB

3,964

Molecular Signature Database, v.6.0

 

L2L

248

List of lists,  v.2006.2

 

CancerGenes*

23

Cancer gene lists

 

GeneSigDB

494

Gene Signature Database,  R.4

Gene

GO_BP

11,943

V2017.5

Ontology

GO_MF

2,932

 

 

GO_CC

1,475

 

Curated

Biocarta*

176

Metabolic and signaling pathways

pathways

PANTHER

151

Ontology-based pathway database,  v3.4.1

 

WikiPathways*

146

Open platform for pathway curation

 

INOH*

73

Integrating network objects with hierarchies

 

NetPath*

25

Signal transduction pathways

Metabolic

KEGG

314

Metabolic pathways, R.82.0

pathways

EHMN*

53

Edinburgh human metabolic network

 

MouseCyc

321

Mouse Biochemical Pathways , v2013.7

Drug

CTD*

910

The Comparative Toxicogenomics Database

related

SIDER*

460

Side Effect Resource

 

MATADOR*

248

Manually Annotated Targets and Drugs Online Resource

 

DrugBank*

136

Open data drug and target database

 

SMPDB*

74

Small Molecule Pathway Database

miRNA

miRDB

1,912

miRNA target prediction and annotations, v 5.0

Target

microRNA.org

314

Predicted miRNA targets, v.R2010

Genes

Grimson et al.

179

Predicted miRNA targets. v.6.2

 

TarBase

84

Experimentally validated miRNA targets, v.6.0

 

miRTarBase

775

Experimentally validated miRNA targets, V6.1

 

MicroCosm

464

Predicted targets

 

PicTar

35

Predicted miRNA sites, v. 2007.3

TF Target

TFactS*

101

Predicted TF targets

Genes

TRED

99

Confirmed TF target genes, v.2013.7

 

CircuitsDB

94

Mixed miRNA/TF regulation, v. 2012

 

TRANSFAC

78

Confirmed TF binding sites, v7.0

Others

Location

341

Genomic location on chromosomes, v.2017

 

HPO*

1,518

The human phenotype ontology

 

STITCH*

3,929

Interaction networks of chemicals and proteins

 

MPO*

2,943

Mammalian Phenotype Ontology

 

T3DB*

722

Database of common toxins and their targets

 

PID*

193

Pathway Interaction Database

 

MethyCancer*

50

Human DNA methylation and cancer

 

MethCancerDB*

19

Aberrant DNA methylation in human cancer

 

Total

46,758

*Secondary data from GeneSetDB




Input:

A list of gene ids, separated by tab, space, comma or new line characters. Ensembl gene IDs are used internally to identify genes. Other types of IDs will be mapped to Ensembl gene IDs using ID mapping information available in Ensembl BioMart.

Output:

Enriched GO terms and pathways:


In addition to the enrichment table, a set of plots are produced. If KEGG database is choosen, then enriched pathway diagrams are shown, with user's genes highlighted. Like this one below:


Many GO terms are related. Some are even redundant, like "cell cycle" and "cell cycle process". To visualize such relatedness in enrichment results, we use a hierarchical clustering tree and network. In this tree below, related GO terms are grouped together based on how many genes they share. The size of the solid circle corresponds to the enrichment FDR.


In this network below, each node represent a enriched GO term. Related GO terms are connected by a line, whose thickness reflect percent of overlapping genes. Size of the node corresponds to number of genes.


Through API access to STRING-db, we also retrieve protein-protein interaction (PPI) network. In addition to a static network image, users can also get access to an interactive graphics at the www.string-db.org web server.


ShinyGO also detects transcription factor (TF) binding motifs enriched in the promoters of user's genes.


Changes:

9/10/2018: V0.5 Upgraded to Ensembl Biomart 92
4/30/2018: V0.42 changed figure configurations for tree.
4/27/2018: V0.41 Change to ggplot2, add grid and gridExtra packages
4/24/2018: V0.4 Add STRING API, KEGG diagram, tree display and network.