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Sowmya Raghavan Strand Life

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  • Bioblox is a platform that enables scientists build dynamic systems models of efficacy and toxicity to mitigate risk of clinical failure
  • Intuitive Model Building Workflow
  • Real World Experiments
  • Different kinds of analyses and multiple options on experiments
  • Enhanced Network Visualization
  • Searchable description and references on each object – entity, relation, experiment, model, parameter set, values. Efficient data handling
  • Backups and Trace back

Transcript

  • 1. Dr. Sowmya Raghavan
  • 2. Strand - an Introduction
    • Strand is a technology innovation company offering Scientific Intelligence solutions for use in discovery research
    • Strand’s proprietary award-winning data-analysis and visualization software platform, AVADIS reflects 400 person years of continuous innovation evident. It powers several leading informatics products like GeneSpring, Sarchitect, Bioblox and WebChemistry.
    • Strand offers “Virtual Lab” services - Computational biology/chemistry and informatics services to address pharma industry challenges
    • Key IP and technology in AVADIS and Liver Toxicity Prediction
    • $5M investment from Indian government to build and operate a genomic applications and informatics technologies labs
  • 3. Bioblox – A platform for Systems Modeling
  • 4. Bioblox enables biologists analyze their systems quantitatively
    • GUI based model building
    • Enables biologists test their hypotheses without employing “hardcore” math
    • Enables collaboration and knowledge management within an enterprise
  • 5. Translate Biology into Mathematical Models Create information-rich networks of interactions Model System Model Network Model System
  • 6. Design Experiments for disease evolution, clinical protocols, therapeutic regimens Parameter Set - Values Input formats Simulation Results Homeostasis Disease
  • 7. Gain insights into model behavior by hypothesis generation and testing Parameter Sensitivity Compare Results from Multiple Hypotheses Detect Events of Interest Steady State Continuation
  • 8. Analyze and interpret results with a suite of dynamically linked visualizations
  • 9. Increase Biological understanding by simplifying networks visually Clone Collapse
  • 10. Share Biological insights and data with context specific annotations Manage Experiments; Store, Retrieve Results Experiment Details References
  • 11. Develop and analyze complex models modularly enabling collaborations Analyze model components in isolation Integrate Models Seamlessly
  • 12. Manage multiple projects Track model(s) evolution with versioning, user-access control Track multiple model builders, versions and use history
  • 13. Thank You