1 |
GeneNetwork |
Inferring genetic network architecture from microarray data |
Gene expression data |
http://genenetwork.sbl.bc.sinica |
[122] |
2 |
MetaReg |
Modeling and analysis of a biological network from high throughput data |
Gene expression data |
http://acgt.cs.tau.ac.il/metareg/application.html |
[123] |
3 |
WGCNA |
Identifying clusters (modules) of highly correlated genes |
Gene expression data |
http://labs.genetics.ucla.edu/horvath/htdocs/CoexpressionNetwork/Rpackages/WGCNA/ |
[124] |
4 |
YEASTRACT-DISCOVERER |
Identifying and visualizing transcription regulatory networks and associations between TF and target genes |
Gene expression data |
http://www.yeastract.com/ |
[125] |
5 |
GeneNT |
Network constrained (NC) clustering |
Gene expression data |
http://crantastic.org/packages/GeneNT |
[122] |
6 |
NetworkAnalyst |
Network analysis and visualization by mining gene expression data |
Gene expression data |
http://www.networkanalyst.ca/NetworkAnalyst/ |
[126] |
7 |
KEGGanim |
Visualize the gene expression data in KEGG pathways |
Gene expression data |
http://biit.cs.ut.ee/kegganim/ |
[127] |
8 |
ASIAN |
Infer a framework of regulatory networks from gene expression data. |
Gene expression data |
http://www.mrc-lmb.cam.ac.uk/genomes/madanm/blang/methods/AburataniS.ASIAN.awebserver forinferringa.html |
[128] |
9 |
ArrayXPath |
Visualize gene-expression data in integrated biological pathway |
Gene expression data |
http://www.snubi.org/software/ArrayXPath/ |
[129] |
10 |
VisHiC |
Cluster and interpret gene expression microarray data |
Gene expression data |
http://www.hsls.pitt.edu/obrc/index.php?page=gene_expression_tools |
[130] |
11 |
PANA |
Integrate the functional annotation with gene expression data to discover functional relationship among pathways |
Functional annotation data, Gene expression data |
http://cs.uns.edu.ar/∼ip/PANA/ |
[60] |
12 |
NetSearch |
Identifying signaling pathways from microarray expression data and protein interactions |
Gene expression data, Protein–protein interaction |
http://arep.med.harvard.edu/NetSearch/runprog.html |
[24] |
13 |
Struct2net |
Protein–protein interaction detection based on structural information with functional annotation |
Protein–protein interaction data, Protein sequence |
http://groups.csail.mit.edu/cb/struct2net/webserver/ |
[131, 132] |
14 |
GraphWeb |
Mine large biological networks for smaller modules, discover novel candidates and connections for known pathways |
Protein–protein interaction data, Directed regulatory data |
http://biit.cs.ut.ee/graphweb/ |
[133] |
15 |
NeAT |
Analysis of biological networks/pathway, including path finding, network clustering, etc. |
Functional annotation data, Gene expression data, protein interaction data |
http://rsat.ulb.ac.be/rsat/index_neat.html |
[134] |
16 |
KOBAS server |
Annotate protein sequences with KEGG Orthology terms and identify significantly enriched pathways |
Protein sequence data |
http://kobas.cbi.pku.edu.cn/home.do |
[135] |
17 |
PHT-Pathway Hunter Tool |
Perform shortest path analysis in the metabolic pathway |
Substrate and product metabolite of a reaction in the pathway |
http://pht.tu-bs.de/ |
[136] |