Predict signal peptide sequences and their cleavage positions in bacterial and eukaryotic amino acid sequences.
Highlights:
PrediSi allows the evaluation of whole proteome datasets in real time with high accuracy.
The method employed is based on a position weight matrix approach improved by a frequency correction which takes in to consideration the amino acid bias present in proteins.
The software was trained using sequences extracted from the most recent version of the SwissProt database.
