V1.1
 
           
 


Go to the Gene Ontology(GO) website


 
Functional Similairity of:
This tool is used to measure the semantic similarity of pairwise terms sets input through text files This tool is used to measure the semantic similarity of two groups of terms input through text files This tool is used to measure the semantic similarity of pairwise terms sets input through text files
 
This tool is used to measure the functional similarity of two groups of genes
1.Enter two groups of genes ID in the format of one term per line, UniProtKB ID only, such as"A0A762" or " Gm crt-1 "
2.Select the measurements for semantic similarity computing, only surpports SSDD, G-SESAME and simUI now.
3.Press the "Submit" button and wait for the result page.
 
        First Genes set                Second Genes set
 
 
                 
 
Measurement
 
 
Evidence Code
 
 
Gene Ontology
 
 
Species
 
Note:
You should carefully select "All Species" in "Species" option if you known which species the genes you entered belong to, which will greatly shorten the time your waitting for the results !
 
   
                
 
 
This tool is used to measure the functional similarity of pairwise genes
1.Enter one group of pairwise genes ID in the format of one pair splited by a 'Space'or 'Tab' per line.
2.Select the measurements for semantic similarity computing, only surpports, G-SESAME and simUI now.
3.Press the "Submit" button and wait for the result page.
   
            Pairwise Genes set
   
   
                            
 
   
Measurement
   
   
Evidence Code
   
   
Gene Ontology
   
   
Species
 
   
Note:
You should carefully select "All Species" in "Species" option if you known which species the genes you entered belong to, which will greatly shorten the time your waitting for the results !
   
     
                     
 
   
This tool is used to measure the functional similarity of two genes.
1. Enter one gene ID or name in each input field, UniProtKB ID only, such as "A0A762" or " Gm crt-1 ".
2.Select the measurements for semantic similarity computing, only surpports SSDD, G-SESAME and simUI now.
3.Press the "Submit" button and wait for the result.
 
             Gene 1
One UniprotKB ID or Gene name for each input box. Click "Example" to refer to an example. Any other forms of gene ID can be convert to UniprotKB by ID Mapping
 
            Gene 2
 
 Measurement
 
Evidence Code
 
 
Gene Ontology
 
 
Species
 
 Note:
You should carefully select "All Species" in "Species" option if you known which species the genes you entered belong to, which will  greatly shorten the time your waitting for the results !  
   
 
            Result
 
   

 

       This page appears to indicate that at least one of your entered gene symbols corresponds to more than one gene entries.
       
       
       Please select one of the gene ID of each symbol to complete the functional similarity caculation.

 

Gene Analysis Tool

What can we use this tool to do?

    The 'Gene Analysis Tool —GFSAT' is a web tool that can be used to Analysis the functional similarity of genes in the forms of "two genes", "two groups genes ", and "pairwise genes group" based on GO Annotation(GOA) and GO semantic similarity measurements. The semantic similarity measurements ultilized by GFSAT 1.1 are SSDD, G-SESAME and simUI now. Soon, more and more algorithms will be integrated into.

     In the case of calculating the similarity of two genes, you can view the overlapped DAG of the terms annotated to each gene and the integrated DAG of these two. (new)

Why GFSAT was born?

       Benefited from the high-throughput, large-scale experiments and statistics coupled with computer analysis methods, gene function studies have turned from single gene to gene network. In addition to protein-protein interaction network (PPIN), gene regulatory network (GRN), metabolic network (MN),signal transduction network (STN) and so on, a new gene network based on gene functional association has been born, namely Functional Gene network (GFN) , in wich mearsuring the functional similarity of genes is the most critical part. GFSAT was born to do this based on GOA.

 
If you have any problem of running GFSAT, please contact Prof. Guo Maozu, Xu Yungang