This book provides a foundational understanding of microarray analysis methodologies for scientists and researchers. Aimed at students, educators, and professionals, it covers current techniques and identifies knowledge gaps, making it suitable for courses in genetics, bioinformatics, and related fields.
This book provides simultaneously a design blueprint, user guide, research agenda, and communication platform for current and future developments in artificial intelligence (AI) approaches to systems biology.
InhaltsverzeichnisSession 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.