We present a user-friendly web server, called SVMSignal, for signal peptides prediction of whole proteomes. The web service accepts in a query at most 10,000 sequences in FASTA format. In addition to prediction results, SVMSignal also shows calculated biochemical properties, including free energy, polarity, average volume and charge index of each residue, in a compact profile graph for visualization to allow users to conveniently inspect potential signal peptide structure such as n-region, h-region, and c-region. Users can download all information within the first 100 residues, including predictions in FASTA format and all of the profile values in tab-delimited text format and the graph of profiles.
Lai J.S., Cheng C.W., Sung T.Y., and Hsu W.L. (2012) Computational Comparative Study of Tuberculosis Proteomes Using a Model Learned from Signal Peptide Structures. PLoS One. 7(4):e35018.