The continuous and rapid advent in mobile and communications technology opens the way for new research areas and new applications. Moving Object Databases(MODs) are among the emer...
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Background: Proteins that are similar in sequence or structure may perform different functions in nature. In such cases, function cannot be inferred from sequence or structural si...
We have recently demonstrated (La et al, Proteins, 58:2005) that sequence fragments approximating the overall familial phylogeny, called phylogenetic motifs (PMs), represent a pro...