ChloroP, a neural network-based method for predicting chloroplast transit peptides and their cleavage sites

A few printing errors are present in the published article. However, in most cases the sense of the information remains unchanged. There is one exception from this rule:

Page 981, right column, lines 9-10:

In published article:

These performance levels are significantly better than those achieved prior to the PSORT predictor (Nakai & Kanehisa, 1992) (...)

Should be:

These performance levels are significantly better than those achieved before, e.g. by the PSORT predictor (Nakai & Kanehisa, 1992) (...)