Dr. Sowmya Raghavan
Strand - an Introduction <ul><li>Strand is a technology innovation company offering Scientific Intelligence solutions for ...
Bioblox – A platform for Systems Modeling
Bioblox enables biologists analyze their systems quantitatively <ul><li>GUI based model building </li></ul><ul><li>Enables...
Translate Biology into Mathematical Models Create information-rich networks of interactions   Model System Model Network M...
Design Experiments for disease evolution, clinical protocols, therapeutic regimens Parameter Set - Values Input formats Si...
Gain insights into model behavior by hypothesis generation and testing Parameter Sensitivity Compare Results from Multiple...
Analyze and interpret results with a suite of dynamically linked visualizations
Increase Biological understanding by simplifying networks visually Clone Collapse
Share Biological insights and data with context specific annotations Manage Experiments;  Store, Retrieve Results Experime...
Develop and analyze complex models modularly enabling collaborations Analyze model components in isolation Integrate Model...
Manage multiple projects  Track model(s) evolution with versioning,  user-access control Track multiple model builders, ve...
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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
  • Sowmya Raghavan Strand Life

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