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Dr. Sowmya Raghavan
Strand - an Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object]
Bioblox – A platform for Systems Modeling
Bioblox enables biologists analyze their systems quantitatively ,[object Object],[object Object],[object Object]
Translate Biology into Mathematical Models Create information-rich networks of interactions   Model System Model Network Model System
Design Experiments for disease evolution, clinical protocols, therapeutic regimens Parameter Set - Values Input formats Simulation Results Homeostasis Disease
Gain insights into model behavior by hypothesis generation and testing Parameter Sensitivity Compare Results from Multiple Hypotheses Detect Events of Interest Steady State Continuation
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 Experiment Details References
Develop and analyze complex models modularly enabling collaborations Analyze model components in isolation Integrate Models Seamlessly
Manage multiple projects  Track model(s) evolution with versioning,  user-access control Track multiple model builders, versions and use history
Thank You

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Sowmya Raghavan Strand Life

Hinweis der Redaktion

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