What is included with this book?
Preface | p. v |
Beyond Gap Models: Reconstructing Alignments and Phylogenies Under Genomic-Scale Events | |
Session Introduction | p. 1 |
Fresco: Flexible Alignment with Rectangle Scoring Schemes | p. 3 |
Local Reliability Measures from Sets of Co-Optimal Multiple Sequence Alignments | p. 15 |
The Effect of the Guide Tree on Multiple Sequence Alignments and Subsequent Phylogenetic Analysis | p. 25 |
Sensitivity Analysis for Reversal Distance and Breakpoint Reuse in Genome Rearrangements | p. 37 |
Computational Challenges in the Study of Small Regulatory RNAs | |
Session Introduction | p. 49 |
Comparing Sequence and Expression for Predicting microRNA Targets Using GenMiR3 | p. 52 |
Analysis of MicroRNA-Target Interactions by a Target Structure Based Hybridization Model | p. 64 |
A Probabilistic Model for Small RNA Flowgram Matching | p. 75 |
Computational Tools for Next-Generation Sequencing Applications | |
Session Introduction | p. 87 |
TRELLIS+: An Effective Approach for Indexing Genome-Scale Sequences Using Suffix Trees | p. 90 |
Pash 2.0: Scaleable Sequence Anchoring for Next-Generation Sequencing Technologies | p. 102 |
Population Sequencing Using Short Reads: HIV as a Case Study | p. 114 |
Analysis of Large-Scale Sequencing of Small RNAs | p. 126 |
Knowledge-Driven Analysis and Data Integration for High-Throughput Biological Data | |
Session Introduction | p. 137 |
SGDI: System for Genomic Data Integration | p. 141 |
Annotating Pathways of Interaction Networks | p. 153 |
Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer | p. 166 |
A Bayesian Framework for Data and Hypotheses Driven Fusion of High Throughput Data: Application to Mouse Organogenesis | p. 178 |
Gathering the Gold Dust: Methods for Assessing the Aggregate Impact of Small Effect Genes in Genomic Scans | p. 190 |
Multi-Scale Correlations in Continuous Genomic Data | p. 201 |
Analysis of MALDI-TOF Spectrometry Data for Detection of Glycan Biomarkers | p. 216 |
Molecular Bioinformatics for Disease: Protein Interactions and Phenomics | |
Session Introduction | p. 228 |
System-Wide Peripheral Biomarker Discovery Using Information Theory | p. 231 |
Novel Integration of Hospital Electronic Medical Records and Gene Expression Measurements to Identify Genetic Markers of Maturation | p. 243 |
Networking Pathways Unveils Association Between Obesity and Non-Insulin Dependent Diabetes Mellitus | p. 255 |
Extracting Gene Expression Profiles Common to Colon and Pancreatic Adenocarcinoma Using Simultaneous Nonnegative Matrix Factorization | p. 267 |
Integration of Microarray and Textual Data Improves the Prognosis Prediction of Breast, Lung and Ovarian Cancer Patients | p. 279 |
Mining Metabolic Networks for Optimal Drug Targets | p. 291 |
Global Alignment of Multiple Protein Interaction Networks | p. 303 |
Predicting DNA Methylation Susceptibility Using CpG Flanking Sequences | p. 315 |
Multiscale Modeling and Simulation Session: From Molecules to Cells to Organisms? | |
Session Introduction | p. 327 |
Combining Molecular Dynamics and Machine Learning to Improve Protein Function Recognition | p. 332 |
Prediction of Structure of G-Protein Coupled Receptors and of Bound Ligands with Applications for Drug Design | p. 344 |
Markov Chain Models of Coupled Intracellular Calcium Channels: Kronecker Structured Representations and Benchmark Stationary Distribution Calculations | p. 354 |
Spatially-Compressed Cardiac Myofilament Models Generate Hysteresis that Is Not Found in Real Muscle | p. 366 |
Modeling Ventricular Interaction: A Multiscale Approach from Sarcomere Mechanics to Cardiovascular System Hemodynamics | p. 378 |
Sub-Micrometer Anatomical Models of the Sarcolemma of Cardiac Myocytes Based on Confocal Imaging | p. 390 |
Efficient Multiscale Simulation of Circadian Rhythms Using Automated Phase Macromodelling Techniques | p. 402 |
Integration of Multi-Scale Biosimulation Models via Light-Weight Semantics | p. 414 |
Comparisons of Protein Family Dynamics | p. 426 |
Protein-Nucleic Acid Interactions: Integrating Structure, Sequence, and Function | |
Session Introduction | p. 438 |
Functional Trends in Structural Classes of the DNA Binding Domains of Regulatory Transcription Factors | p. 441 |
Using DNA Duplex Stability Information for Transcription Factor Binding Site Discovery | p. 453 |
A Parametric Joint Model of DNA-Protein Binding, Gene Expression and DNA Sequence Data to Detect Target Genes of a Transcription Factor | p. 465 |
An Analysis of Information Content Present in Protein-DNA Interactions | p. 477 |
Use of an Evolutionary Model to Provide Evidence for a Wide Heterogeneity of Required Affinities Between Transcription Factors and Their Binding Sites in Yeast | p. 489 |
Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches | p. 501 |
Tiling Microarray Data Analysis Methods and Algorithms | |
Session Introduction | p. 513 |
CMARRT: A Tool for the Analysis of ChIP-chip Data from Tiling Arrays by Incorporating the Correlation Structure | p. 515 |
Transcript Normalization and Segmentation of Tiling Array Dat | p. 527 |
GSE: A Comprehensive Database System for the Representation, Retrieval, and Analysis of Microarray Data | p. 539 |
Translating Biology: Text Mining Tools That Work | |
Session Introduction | p. 551 |
Assisted Curation: Does Text Mining Really Help? | p. 556 |
Evidence for Showing Gene/Protein Name Suggestions in Bioscience Literature Search Interfaces | p. 568 |
Enabling Integrative Genomic Analysis of High-Impact Human Diseases Through Text Mining | p. 580 |
Information Needs and the Role of Text Mining in Drug Development | p. 592 |
EpiLoc: A (Working) Text-Based System for Predicting Protein Subcellular Location | p. 604 |
Filling the Gaps Between Tools and Users: A Tool Comparator, Using Protein-Protein Interactions as an Example | p. 616 |
Comparing Usability of Matching Techniques for Normalising Biomedical Named Entities | p. 628 |
Intrinsic Evaluation of Text Mining Tools May Not Predict Performance on Realistic Tasks | p. 640 |
BANNER: An Executable Survey of Advances in Biomedical Named Entity Recognition | p. 652 |
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