Genome Informatics 2009: Genome Informatics Series Vol. 23 - Proceedings Of The 20th International Conference

Predicting Protein-Protein Relationships from Literature Using Latent Topics (T Aso & K Eguchi); Evaluation of DNA Intramolecular Interactions for Nucleosome Positioning in Yeast (M Fernandez et al.); Quality Control and Reproducibility in DNA Microarray Experiments (A Fujita et al.); Comparative Analysis of Topological Patterns in Different Mammalian Networks (B Goemann et al.); Tools for Investigating Mechanisms of Antigenic Variation: New Extensions to varDB (C N Hayes et al.); Localized Suffix Array and Its Application to Genome Mapping Problems for Paired-End Short Reads (K Kimura & A Koike); Comparative Analysis of Aerobic and Anaerobic Prokaryotes to Identify Correlation Between Oxygen Requirement and Gene-Gene Functional Association Patterns (Y Lin & H Wu); Calculation of Protein-Ligand Binding Free Energy Using Smooth Reaction Path Generation (SRPG) Method: A Comparison of the Explicit Water Model, GB/SA Model and Docking Score Function (D Mitomo et al.); Structural Insights Into the Enzyme Mechanism of a New Family of D-2-Hydroxyacid Dehydrogenases, a Close Homolog of 2-Ketopantoate Reductase (S Mondal & K Mizuguchi); Comprehensive Analysis of Sequence-Structure Relationships in the Loop Regions of Proteins (S Nakamura & K Shimizu); The Prediction of Local Modular Structures in a Co-Expression Network Based on Gene Expression Datasets (Y Ogata et al.); Gradient-Based Optimization of Hyperparamers for Base-Pairing Profile Local Alignment Kernels (K Sato et al.); A Method for Efficient Execution of Bioinformatics Workflows (J Seo et al.); Development of a New Meta-Score for Protein Structure Prediction from Seven All-Atom Distance Dependent Potentials Using Support Vector Regression (M Shirota et al.); Refining Markov Clustering for Protein Complex Prediction by Incorporating Core-Attachment Structure (S Srihari et al.); An Assessment of Prediction Algorithms for Nucleosome Positioning (Y Tanaka & K Nakai); Cancer Classification Using Single Genes (X Wang & O Gotoh); RECOUNT: Expectation Maximization Based Error Correction Tool for Next Generation Sequencing Data (E Wijaya et al.).