Work in multiple laboratories is underway to develop a mechanistic understanding of tDCS effects on different forms of learning and to optimize stimulation protocols.
The robustness of behavioral measures such as thermal nociception and locomotor response assayed across multiple laboratories is evident from medium to high correlations.
We reassert that the headline conclusion of Waldminghuas and Skarstad's paper "ChIP on Chip: surprising results are often artifacts", and their subsequent criticism of work from multiple laboratories, is highly misleading.
We are aware that publishing data from multiple laboratories can be very problematic as there might be variations in methods used, interpretative criteria, etc.
We are aware that publishing data from multiple laboratories can be very difficult because there might be variations in methods used, interpretative criteria, etc.
Multiple laboratories should be enlisted for large studies to avoid sample backlogs.
From the beginning of the project, we recognized that compiling results from multiple laboratories would be challenging because of the variability in the IS 6110 fingerprinting method.
Given the large number of arrays generated in multiple laboratories, it is inevitable that some hybridizations failed or had experimental biases that require special attention.
