The EPI images from each experiment were corrected for slice timing differences using SPM5 and registered to the mean image of the first experiment using the rigid-body transformation of AIR5.2.5 [45].
Second, the intensities for each experiment were corrected for the variation in total array intensity by dividing the intensities with its corresponding total array intensity separately for Bacteria and Archea.
Subsequently, phenotypic data (Y lpn ) measured on the genotypes of the selection experiment were corrected as follow: and all the analyses were performed on corrected data Z.
The number of cells used in the various experiments was corrected according to these results to be sure that the exact same number of living cells was seed in control and Cidofovir-treated cells.
Raw data from the Illumina BeadChips for both human and mouse experiments was corrected for background and quantile normalized using BeadExplorer (version1.5.0), a Bioconductor module developed for quality control, normalization, annotation and exploration of Illumina BeadChip data [ 40].
To check the effects of remanence anisotropy on Banc, vector components for the measured remanences during the pa-leointensity experiments were corrected using the AARM tensor.
Shear displacement was corrected for machine distortion, and torque and normal force data for the wet experiments were corrected for seal friction to obtain the shear stress and effective normal stress (σneff) acting on the sample, and the apparent friction coefficient (μ = τ / σneff, ignoring cohesion).
The data from two independent experiments were corrected for the non-enzymatic reaction rates and globally fitted to the Michaelis-Menten equation to yield an estimate of Km = 0.41±0.14 mM CDNB (mean±SD).
The respective CID chromatograms obtained in control and OCT2 uptake experiments were corrected for differences in retention time of the IS (by shifting in x-direction) and for differences in peak area of the IS and in protein content of the cells (by shifting in y-direction).
The resulting p-values from these experiments were corrected for multiple testing using the Benjamini and Hochberg algorithm in the Bioconductor multtest package [ 37, 45].
