A comparative study of parallel metaheuristics executed in grid environments is proposed, having as case study a genetic algorithm, a simulated annealing algorithm and a random se...
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
The focus of this paper is on the design and implementation of a critical program in structural biology onto two computational and data grids. The first is the Buffalo-based ACDC ...
Background: Folding of a protein into its three dimensional structure is influenced by both local and global interactions within a protein. Higher order residue interactions, like...
In this paper, we study the problem of measuring structural similarities of large number of source schemas against a single domain schema, which is useful for enhancing the qualit...