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