Introduction


RAD is a webtool for analysing region associated differentially expressed genes. Visualization of DEGs surrounding peak regions are implemented in RAD in order to help researchers to infer the regulatory function of transcription factors or genomic sequence.

The algorithm behind RAD has been implemented in recent publications (Pastor et al., 2018; Harris et al., 2018; Gallego-Bartolomé et al., 2019). There are three main steps in the algorithm:

  1. Infer region associated genes within specific distance using awk and bedtools. 
    2. 
                                        
  2. 
                                            
    A specific distance was split into different bins into which up/down-regulated genes are assigned. We calculated observed versus expected as follows to reduce false-positive rate: 
    

                                        
    3. 
                                        
  3. 
                                            
    Perform a hypergeometric test to calculate the p-value over the four elements above
    
                                            
                                            
     k, up/down-regulated genes covered in different distance bins,
     n, all genes covered in different distance bins,
    
                                                m, up/down-regulated genes covered in region extended distance,
     N, whole genome genes.
    
                                        
    4. 
                                    

                                

                                
                                

                                    
 Supported Reference Genome


                                    
Currently, RAD supports referenece genome of the well-annotated human (GRCh38/hg38 (EMSEMBL GRCh38, Dec. 2013) and
                                         GRCh37/hg19 (EMSEMBL GRCh37, Feb. 2009)), mouse (GRCm38/mm10 (ENSEMBL GRCm38, Dec. 2011) and  NCBIm37 (NCBI build 37/mm9, Jul. 2007)), and Arabidopsis thaliana
                                        (EMSEMBL TAIR10, June. 2016).
                                    

                                    
We hope to gradually expand the set of genome data we support. 

                                

                                
                                

                                    
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 Citations 


                                    
 Here are some papers that cites RAD:

                                    
    
                                        
                                        
  1. 
                                            Pastor, W.A., Liu, W., Chen, D., Ho, J., Kim, R., Hunt, T.J., Lukianchikov, A., Liu, X., Polo, J.M., Jacobsen, S.E. & Clark, A.T. (2018) TFAP2C regulates transcription in human naive pluripotency by opening enhancers. Nature cell biology,
                                            20, 553-564. doi:  10.1038/s41556-018-0089-0 
                                        
    2. 
                                        
                                        
  2. 
                                            Harris, C.J., Scheibe, M., Wongpalee, S.P., Liu, W., Cornett, E.M., Vaughan, R.M., Li, X., Chen, W., Xue, Y., Zhong, Z., Yen, L., Barshop, W.D., Rayatpisheh, S., Gallego-Bartolome, J., Groth, M., Wang, Z., Wohlschlegel, J.A., Du, J., Rothbart, S.B., Butter,
                                            F. & Jacobsen, S.E. (2018) A DNA methylation reader complex that enhances gene transcription. Science, 362, 1182-1186.
                                             doi: 10.1126/science.aar7854
                                        
    3. 
                                        
                                        
  3. 
                                            Gallego-Bartolomé, J., Liu, W., Kuo, P.H., Feng, S., Ghoshal, B., Gardiner, J., Zhao, J.M., Park, S.Y., Chory, J. & Jacobsen, S.E. (2019) Co-targeting RNA Polymerases IV and V Promotes Efficient De Novo DNA Methylation in Arabidopsis. Cell,
                                            176, 1068-1082.e19. doi: 10.1016/j.cell.2019.01.029 
                                        
    4. 
                                    

                                

                                
                                

                                    
 Web Browsers

                                    
 Which browser is recommended for RAD?

                                    
 We recommended Google Chrome. It offers the best compatibility and performance in our tests.
                                    

                                    
On which browsers and platforms has RAD been tested?

                                    
RAD was tested on:

                                    
    
                                        
  • Google Chrome on MacOS and Windows
    • 
                                        
  • Safari on MacOS
    • 
                                    


                                

                                
                                

                                    
About Us

                                    
Team Members

                                    
                                

                                
                                

                                    
Report an Issue


                                    
 Feel free to report any issue or bug to us by sending email to
                                         yixinguo.19@intl.zju.edu.cn or  ziwei.17@intl.zju.edu.cn