Background: Automated protein function prediction methods are the only practical approach for assigning functions to genes obtained from model organisms. Many of the previously re...
Jaehee Jung, Gangman Yi, Serenella A. Sukno, Micha...
There is a growing need to analyze and optimize the stand-by component of power in digital circuits designed for portable and battery-powered applications. Since these circuits re...
David Blaauw, Steven M. Martin, Trevor N. Mudge, K...
We propose, implement and evaluate three admission models for computational Grids. The models take the expected demand into account and offer a specific performance guarantee. Th...
The Virtual Assembly Design Environment (VADE) is a Virtual Reality (VR) based engineering application which allows engineers to evaluate, analyze, and plan the assembly of mechan...
Sankar Jayaram, Yong Wang, Uma Jayaram, Kevin W. L...
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...