Background: Multiple sequence alignments are a fundamental tool for the comparative analysis of proteins and nucleic acids. However, large data sets are no longer manageable for v...
Alberto I. Roca, Albert E. Almada, Aaron C. Abajia...
We investigate the problem of searching similar multiattribute time sequences. Such sequences arise naturally in a number of medical, financial, video, weather forecast, and stoc...
On-line transaction processing exhibits poor memory behavior in high-end multiprocessor servers because of complex sharing patterns and substantial interaction between the databas...
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...