Can I use Gueassian process regression for non normal data?

The data set I am working with is more like a lognormal distribution rather than normal. We know that if "x" is a log-normally distributed, y=log(x) would be distributed normally. So, can I take a logarithm of my data first and convert them to a normal distribution and then apply the Gaussian process regression ?