Table 2

Comparison of the 32 surveyed methods in terms of the supported omics types, meta-analysis, embedded pathways databases and mapping unit. The majority of these methods can integrate transcriptomic data with genomic, epigenomic, proteomic and metabolomic data. Among these, 19 methods are capable of performing meta-analysis (multi-cohort analysis). Further, 22 have embedded databases and thus allow users to analyze their data without the need of providing pathway/gene set information. Most methods also automatically map the gene/compound IDs of the expression data to the gene/compound IDs presented in the pathways. The column ‘Inter. Visual.’ indicates whether the tool has an interactive interface. Six methods provide interactive pathway diagram that allow users to interactively explore the results and inspect the statistics obtained in each omics analysis

MethodType of omic dataMeta-analysisBuilt-in DatabaseID MappingInter. Visual.
GenomeTranscriptomeEpigenomeProteomeMetabolomeManualBuilt-in
Gene-level, P-value-based integrative approaches
KaPPA-ViewKEGG, BioCyc
MAPE
CancerMAGO
INMEXKEGG, GO
3OmicsKEGG, BioCyc
InCroMAPKEGG, Reactome, BioCarta
ActivePathways
mitch
iODAKEGG
Pathway-level, P-value-based integrative approaches
IMPaLAKEGG, Reactome, WikiPathways, NCI-PID, Biocarta, PharmaGKBB, INOH, EHMN, NetPath, SMPDB, BioCyc
iPEAPKEGG
MarVis-PathwayKEGG, BioCyc
BLMAKEGG
GeneTrail2KEGG, Reactome, WikiPathways, BioCarta, NCI-PID, PharmGKB, SignaLink, GO, SMPDB
DANUBE
Mergeomics
PathviewKEGG
PaintOmics 3KEGG
ReactomeGSAReactome
multiGSEAKEGG, Reactome, PharmGKB, BioCyc, SMPDB, Panther, Biocarta, NCI-PID
pathwayMultiomics
CPAKEGG, GO
clusterProfiler 4.0KEGG, GO, WikiPathways
Graph-transformation-based approaches
PARADIGMNCI-PID
Subpathway-GMKEGG
microGraphiteKEGG, Reactome, NCI-PID, BioCarta
mirIntegratorKEGG, miRTarBase
MOSClip
IMPRes-ProKEGG, STRING, TRRUST
rPAC
Machine-learning-based approaches
GSOA
PathwayPCA
MethodType of omic dataMeta-analysisBuilt-in DatabaseID MappingInter. Visual.
GenomeTranscriptomeEpigenomeProteomeMetabolomeManualBuilt-in
Gene-level, P-value-based integrative approaches
KaPPA-ViewKEGG, BioCyc
MAPE
CancerMAGO
INMEXKEGG, GO
3OmicsKEGG, BioCyc
InCroMAPKEGG, Reactome, BioCarta
ActivePathways
mitch
iODAKEGG
Pathway-level, P-value-based integrative approaches
IMPaLAKEGG, Reactome, WikiPathways, NCI-PID, Biocarta, PharmaGKBB, INOH, EHMN, NetPath, SMPDB, BioCyc
iPEAPKEGG
MarVis-PathwayKEGG, BioCyc
BLMAKEGG
GeneTrail2KEGG, Reactome, WikiPathways, BioCarta, NCI-PID, PharmGKB, SignaLink, GO, SMPDB
DANUBE
Mergeomics
PathviewKEGG
PaintOmics 3KEGG
ReactomeGSAReactome
multiGSEAKEGG, Reactome, PharmGKB, BioCyc, SMPDB, Panther, Biocarta, NCI-PID
pathwayMultiomics
CPAKEGG, GO
clusterProfiler 4.0KEGG, GO, WikiPathways
Graph-transformation-based approaches
PARADIGMNCI-PID
Subpathway-GMKEGG
microGraphiteKEGG, Reactome, NCI-PID, BioCarta
mirIntegratorKEGG, miRTarBase
MOSClip
IMPRes-ProKEGG, STRING, TRRUST
rPAC
Machine-learning-based approaches
GSOA
PathwayPCA
Table 2

Comparison of the 32 surveyed methods in terms of the supported omics types, meta-analysis, embedded pathways databases and mapping unit. The majority of these methods can integrate transcriptomic data with genomic, epigenomic, proteomic and metabolomic data. Among these, 19 methods are capable of performing meta-analysis (multi-cohort analysis). Further, 22 have embedded databases and thus allow users to analyze their data without the need of providing pathway/gene set information. Most methods also automatically map the gene/compound IDs of the expression data to the gene/compound IDs presented in the pathways. The column ‘Inter. Visual.’ indicates whether the tool has an interactive interface. Six methods provide interactive pathway diagram that allow users to interactively explore the results and inspect the statistics obtained in each omics analysis

MethodType of omic dataMeta-analysisBuilt-in DatabaseID MappingInter. Visual.
GenomeTranscriptomeEpigenomeProteomeMetabolomeManualBuilt-in
Gene-level, P-value-based integrative approaches
KaPPA-ViewKEGG, BioCyc
MAPE
CancerMAGO
INMEXKEGG, GO
3OmicsKEGG, BioCyc
InCroMAPKEGG, Reactome, BioCarta
ActivePathways
mitch
iODAKEGG
Pathway-level, P-value-based integrative approaches
IMPaLAKEGG, Reactome, WikiPathways, NCI-PID, Biocarta, PharmaGKBB, INOH, EHMN, NetPath, SMPDB, BioCyc
iPEAPKEGG
MarVis-PathwayKEGG, BioCyc
BLMAKEGG
GeneTrail2KEGG, Reactome, WikiPathways, BioCarta, NCI-PID, PharmGKB, SignaLink, GO, SMPDB
DANUBE
Mergeomics
PathviewKEGG
PaintOmics 3KEGG
ReactomeGSAReactome
multiGSEAKEGG, Reactome, PharmGKB, BioCyc, SMPDB, Panther, Biocarta, NCI-PID
pathwayMultiomics
CPAKEGG, GO
clusterProfiler 4.0KEGG, GO, WikiPathways
Graph-transformation-based approaches
PARADIGMNCI-PID
Subpathway-GMKEGG
microGraphiteKEGG, Reactome, NCI-PID, BioCarta
mirIntegratorKEGG, miRTarBase
MOSClip
IMPRes-ProKEGG, STRING, TRRUST
rPAC
Machine-learning-based approaches
GSOA
PathwayPCA
MethodType of omic dataMeta-analysisBuilt-in DatabaseID MappingInter. Visual.
GenomeTranscriptomeEpigenomeProteomeMetabolomeManualBuilt-in
Gene-level, P-value-based integrative approaches
KaPPA-ViewKEGG, BioCyc
MAPE
CancerMAGO
INMEXKEGG, GO
3OmicsKEGG, BioCyc
InCroMAPKEGG, Reactome, BioCarta
ActivePathways
mitch
iODAKEGG
Pathway-level, P-value-based integrative approaches
IMPaLAKEGG, Reactome, WikiPathways, NCI-PID, Biocarta, PharmaGKBB, INOH, EHMN, NetPath, SMPDB, BioCyc
iPEAPKEGG
MarVis-PathwayKEGG, BioCyc
BLMAKEGG
GeneTrail2KEGG, Reactome, WikiPathways, BioCarta, NCI-PID, PharmGKB, SignaLink, GO, SMPDB
DANUBE
Mergeomics
PathviewKEGG
PaintOmics 3KEGG
ReactomeGSAReactome
multiGSEAKEGG, Reactome, PharmGKB, BioCyc, SMPDB, Panther, Biocarta, NCI-PID
pathwayMultiomics
CPAKEGG, GO
clusterProfiler 4.0KEGG, GO, WikiPathways
Graph-transformation-based approaches
PARADIGMNCI-PID
Subpathway-GMKEGG
microGraphiteKEGG, Reactome, NCI-PID, BioCarta
mirIntegratorKEGG, miRTarBase
MOSClip
IMPRes-ProKEGG, STRING, TRRUST
rPAC
Machine-learning-based approaches
GSOA
PathwayPCA
Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close