Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Background: In order to improve gene prediction, extrinsic evidence on the gene structure can be collected from various sources of information such as genome-genome comparisons an...
Background: The development and testing of functions for the modeling of protein energetics is an important part of current research aimed at understanding protein structure and f...
Background: The family of voltage-gated potassium channels comprises a functionally diverse group of membrane proteins. They help maintain and regulate the potassium ion-based com...
Background: Structure-based computational methods are needed to help identify and characterize protein-protein complexes and their function. For individual proteins, the most succ...