RunDFR v1.13

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The RunDFR Web Tool determines positivity calls for ELISpot data according to the DFR(eq) and DFR(2x) methods described in:

  • Z Moodie, Y Huang, L Gu, J Hural, and S Self. Statistical positivity criteria for the analysis of ELISpot assay data in HIV-1 vaccine trials. J. of Imm. Meth. 315: 121-132, 2006.
  • Z Moodie*, L Price*, C Gouttefangeas, A Mander, S Janetzki, M Lower, MJ Welters, C Ottensmeier, SH van der Burg, CM Britten. Response definition criteria for ELISpot assays revisited. Cancer Immunol Immunother, 59(10):1489-501, 2010. *shared first authorship
  • Z Moodie, L Price, S Janetzki, CM Britten. Response determination criteria for ELISPOT: toward a standard that can be applied across laboratories. Methods Mol Biol. 792:185-96, 2012.

The R code that implements the DFR(eq) and DFR(2x) methods is available for download as elsdfreq.R and elsdfr2x.R respectively.

If you encounter an error:
  • Check data file is a correctly formatted .csv file with column order: id, day, antigen, rep1, rep2, rep3, ....
  • Check antigens/peptides and negative control are consistently named in .csv file.
  • Check negative control is entered exactly as it appears in the .csv file. The program is case-sensitive and sensitive to trailing spaces.
  • Check missing data appear as a blank cell or NA in the .csv file.
  • Check there is nothing but data in the .csv file (no plots or notes).

Questions can be directed to: zoe (at) fredhutch (dot) org

Example Data File:

Download an example data file here .

Use the example file with the following values:

  • # Antigens = 2
  • # Experimental Wells = 3
  • # Negative Control Wells = 6
  • Name of Negative Control = negctl

DISCLAIMER: The information is provided 'as is'. There are no warranties, expressed or implied, as to merchantability or fitness for a particular purpose regarding the accuracy of the materials or code herein.

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