Prediction of twin-arginine and secretory signal peptides with Hidden Markov Models Run PRED-TATIn order to use the method follow this link
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. ReferencePantelis G. Bagos, Elisanthi P. Nikolaou, Theodore D. Liakopoulos and Konstantinos D. Tsirigos. Combined prediction of Tat and Sec signal peptides with Hidden Markov Models. |
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