This is a new area of study for ASSERT. Currently, we have two Master’s students that are investigating the problem of predicting transmembrane domains in protein sequences. They develop two new prediction algorithms based on artificial neural networks and k-Nearest Neighbor respectively, which will be compared with the performance of a state-of-the-art algorithm based on Hidden Markov Models.

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