Algorithms

Processing steps

  1. Import data, setting all negative values to 0.

    On a plate by plate basis:

  2. Calculate the average of all wells labeled “blank” to obtain plate specific backgound signal

  3. Subract backgound from all signals to obtain background subtracted values (bkgrnd_sub below) which are used in all further calculations

  4. Set all background subtracted values that are less than zero to zero

(4.5 For layouts utilizing duplicates (2S4T, 4S2T), average the duplicates)

  1. Calculate norm, norm_pos, p_enhance as described below

Background subtraction, normalization

Upon data import, raw values are stored and processed as described above, then the calculations below are performed to yield additional columns of stored data.

column Description
raw imported raw data
bkgrnd_sub mean of all wells annotated “blank” subtracted from each raw value;
norm all values normalized to the maximum of the background subtracted values annotated as “unknown”;
norm_pos all values normalized to the mean of the background subtracted values annotated as “positive”;
p_enhance Percent enhancement over the positive control;
100*(

Hit identification

Algorithm

Label Hit threshold
mean(neg) + 3SD
mean(neg) + 2SD
>0% enhanced
Top N Highest N responses from unknowns



### References

Sittampalam GS, Coussens NP, Brimacombe K, et al., editors. Assay Guidance Manual Internet. Bethesda (MD): Eli Lilly & Company and the National Center for Advancing Translational Sciences; 2004-.

Brian P. Kelley, 1 Mitchell R. Lunn, 1 David E. Root, Stephen P. Flaherty, Allison M. Martino, and Brent R. Stockwell; A Flexible Data Analysis Tool for Chemical Genetic Screens, Chemistry & Biology 11:1495–1503, November, 2004