Research in Computational Molecular Biology 18th Annual International Conference RECOMB 2014 Pittsburgh PA USA April 2 5 2014 Proceedings 1st Edition by Roded Sharan ISBN 9783319052694 3319052691

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Product details:
ISBN 10: 3319052691
ISBN 13: 9783319052694
Author: Roded Sharan

Research in Computational Molecular Biology 18th Annual International Conference RECOMB 2014 Pittsburgh PA USA April 2 5 2014 Proceedings 1st Edition Table of contents:

Part I: Algorithms and Models in Computational Biology

1. Graph Theory and Network Analysis in Biology

   • New Algorithms for Biological Network Alignment
   • Applications of Graph Theory in Gene Regulatory Networks
   • Dynamic Models of Protein-Protein Interaction Networks

2. Computational Models of Evolution

   • Phylogenetic Tree Construction Algorithms
   • Simulating Evolutionary Processes Using Computational Models
   • Comparative Genomics: Algorithms and Applications

3. Sequence Alignment and Motif Detection

   • Advances in Sequence Alignment Algorithms
   • Computational Approaches for Motif Discovery in Genomes
   • Statistical Methods for Sequence Comparison

Part II: Bioinformatics Tools and Applications

4. Genomic Data Analysis and Interpretation

   • High-Throughput Sequencing Data Analysis
   • Methods for Interpreting Large-Scale Genomic Datasets
   • Applications of Next-Generation Sequencing in Disease Research

5. Systems Biology and Computational Modeling

   • Modeling Gene Expression in Eukaryotic Cells
   • Computational Approaches to Metabolic Pathway Modeling
   • Predicting Cellular Responses Using Computational Models

6. Machine Learning in Computational Biology

   • Machine Learning Techniques for Predicting Protein Function
   • Application of Deep Learning to Structural Bioinformatics
   • Integration of Multi-Omics Data Using Computational Methods

Part III: Structural Bioinformatics and Molecular Simulation

7. Protein Structure Prediction

   • Advances in Ab-Initio Protein Folding Simulations
   • Computational Methods for Predicting Protein-Ligand Interactions
   • Machine Learning Approaches to Structural Bioinformatics

8. Molecular Dynamics and Simulations

   • New Techniques in Molecular Dynamics Simulations of Biomolecules
   • Modeling Protein Dynamics in Disease Mechanisms
   • Applications of Simulation in Drug Design

Part IV: Computational Approaches in Personalized Medicine

9. Computational Methods for Precision Medicine

   • Personalized Genomics and Computational Approaches
   • Integrating Genomic and Clinical Data for Disease Prediction
   • Machine Learning for Biomarker Discovery

10. Cancer Genomics and Bioinformatics

    • Computational Approaches to Identifying Cancer Drivers
    • Bioinformatics Tools for Cancer Mutation Analysis
    • Genomic Data Integration in Cancer Research

Part V: Emerging Topics in Computational Molecular Biology

11. Synthetic Biology and Computational Design

    • Computational Approaches for Designing Synthetic Pathways
    • Modeling Synthetic Genetic Circuits
    • Applications of Computational Tools in Synthetic Biology

12. Big Data in Computational Biology

    • Scalable Algorithms for Large-Scale Genomic Data Analysis
    • High-Performance Computing in Biological Simulations
    • Data Storage and Retrieval Challenges in Bioinformatics

13. Ethics and Privacy in Computational Biology

    • Ethical Considerations in Genomic Data Sharing
    • Privacy Concerns in Biomedical Data Research
    • Regulatory Issues in Computational Genomics

Part VI: Closing Remarks and Future Directions

14. The Future of Computational Molecular Biology
    • Innovations in Computational Methods for Biological Discovery
    • Interdisciplinary Approaches in Bioinformatics and Systems Biology
    • The Role of Artificial Intelligence in Advancing Computational Biology

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