Distributed, High-Performance and Grid Computing in Computational Biology

Inhaltsverzeichnis

• 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.