We describe algorithms for pattern matching and pattern learning in TOPS diagrams (formal descriptions of protein topologies). These problems can be reduced to checking for subgrap...
Digital elevation models can represent many types of geographic data. One of the common digital elevation models is the triangulated irregular network also called TIN, or polyhed...
Abstract-- The RNA secondary structure design (SSD) problem is a recently emerging research topic motivated by applications such as customized drug design and the self-assembly of ...
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive proced...