Distributed, High-Performance and Grid Computing in Computational Biology

Session 1a. “Sequence Analysis”.- Combining a High-Throughput Bioinformatics Grid and Bioinformatics Web Services.- Using Public Resource Computing and Systematic Pre-calculation for Large Scale Sequence Analysis.- Accelerated microRNA-Precursor Detection Using the Smith-Waterman Algorithm on FPGAs.- Session 1b. “Grids for Screening and Property Prediction”.- Implementation of a Distributed Architecture for Managing Collection and Dissemination of Data for Fetal Alcohol Spectrum Disorders Research.- Grid-Enabled High Throughput Virtual Screening.- Grid Computing for the Estimation of Toxicity: Acute Toxicity on Fathead Minnow (Pimephales promelas).- Peer-to-Peer Experimentation in Protein Structure Prediction: An Architecture, Experiment and Initial Results.- Session 2a. “Data Management”.- Gene Prediction in Metagenomic Libraries Using the Self Organising Map and High Performance Computing Techniques.- A Distributed System for Genetic Linkage Analysis.- Enabling Data Sharing and Collaboration in Complex Systems Applications.- Accessing Bio-databases with OGSA-DAI - A Performance Analysis.- Session 2b. “Collaborative Environments”.- Systems Support for Remote Visualization of Genomics Applications over Wide Area Networks.- HVEM DataGrid: Implementation of a Biologic Data Management System for Experiments with High Voltage Electron Microscope.