Data Statistics & Downloads

The csv files listed below are not updated any more. The current databases were updated in June 2024. Please use the miRNet web server or the miRNetR package to access the latest databases as sqlite files.

Species miRNA-gene miRNA-molecule miRNA-disease miRNA-epigenetic regulator miRNA-ncRNA miRNA-TF No. of miRNAs No. of Genes No. of molecules No. of diseases No. of epigenetic regulators No. of ncRNAs No. of TFs No. of SNPs
Human 380639 3110 32004 1932 904583 2513 2741 16944 256 961 38 15987 321 2446632
Mouse 57921 1062 0 23 0 645 890 7506 59 0 4 0 129 0
Rat 610 581 0 0 0 47 198 249 43 0 4 0 23 0
Cattle* 48878 0 0 0 0 0 643 8160 0 0 0 0 0 0
Chicken* 82164 0 0 0 0 0 943 7762 0 0 0 0 0 0
Zebrafish 175 148 0 0 0 35 47 105 6 0 0 0 7 0
Fruitfly 283 0 0 0 0 0 46 97 0 0 0 0 0 0
C.elegans 3215 34 0 0 0 71 155 448 0 0 0 0 30 0
S.mansoni* 1274 0 0 0 0 0 134 1119 0 0 0 0 0 0
Pig* 531083 0 0 0 0 0 429 8353 0 0 0 0 0 0
Total 1106242 4935 32004 1955 904583 3311 6226 50743 365 961 42 15987 510 2446632

Note: All of the miRNA-gene interactions for S. mansoni, and most of the miRNA-gene interactions for Cattle, Chicken and Pig are predicted by miRanda.

Downloads:

  • miRNA-gene interactions:        Human      Mouse     Rat     Pig     Zebrafish     Fruitfly     Cattle     Chicken     C.elegans     S.mansoni
  • miRNA-small molecule interactions:        Human     Mouse     Rat     Zebrafish     C.elegens
  • miRNA-TF interactions:        Human     Mouse     Rat     Zebrafish     C.elegens
  • miRNA-epigenetic modifiers interaction:        Human     Mouse
  • Human specific annotations:       Diseases     lncRNAs     circRNAs     pseudogene     sncRNA     SNPs(miRNA)     SNPs(miRNA-binding sites)     SNPs(TF-bindling sites)
  • Source Code

    The miRNet web application is implemented based on the JavaServer Faces framework using the PrimeFaces library (primefaces.org). The back-end computing is based on R using the miRNetR package. The interactive visualization is based on the JavaScripts and leverages the sigma library for network visualization. We encourage users to use our public web servers for flexible and interactive data analysis tasks, and the R packages for batch processing. The source code is provided mainly for transparency. It is not intended to run as production server which requires advanced system admin expertise to set up and to maintain.