Prediction of twin-arginine and secretory signal peptides with Hidden Markov Models


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Supplementary information

In the supplementary material you can find detailed results of the methods, comparison against other alternative approaches, the datasets used for training and testing as well as the results of the genome-wide analysis of the completely sequenced bacterial genomes. You can also donwload the profile HMMs that can be used instead of the custom HMM for large-scale analyses.


Pantelis G. Bagos, Elisanthi P. Nikolaou, Theodore D. Liakopoulos and Konstantinos D. Tsirigos.
Combined prediction of Tat and Sec signal peptides with Hidden Markov Models.
2010, Bioinformatics [PDF] [Pubmed] [Google Scholar]