ensembleNet - integrative, third-generation database predicting gene functions in Arabidopsis thaliana.
This database integrates gene function predictions from seven inference methods.
This database integrates gene function predictions from seven inference methods.
Gene search
You can start the analysis by entering gene ID (e.g. at4g32410) of the gene of interest into the text box below. You can also use gene names (e.g. CESA1) or keywords (e.g. cellulose).
Gene Ontology search
Alternatively, you can retrieve the genes that are annotated with the Gene Ontology (GO) term of interest. You can use GO IDs (e.g. GO:0005618) or keywords (e.g. cell wall).
Gene set search
Finally, you can specify yourself which gene-gene associations you want to investigate. Enter the genes of interest and EnsembleNet will identify which other genes are functionally related to these genes. One gene per line, please.
You can start the analysis by entering gene ID (e.g. at4g32410) of the gene of interest into the text box below. You can also use gene names (e.g. CESA1) or keywords (e.g. cellulose).
Gene Ontology search
Alternatively, you can retrieve the genes that are annotated with the Gene Ontology (GO) term of interest. You can use GO IDs (e.g. GO:0005618) or keywords (e.g. cell wall).
Gene set search
Finally, you can specify yourself which gene-gene associations you want to investigate. Enter the genes of interest and EnsembleNet will identify which other genes are functionally related to these genes. One gene per line, please.