Runs History

Track and manage your simulation and optimization runs.

Accessing Runs

Click Runs in the left sidebar to view all runs.

Runs Page

Run Types

Simulations

Genetic expression predictions:

• RNA polymerase flux

• Ribosome flux

• Concentration predictions

Codon Optimizations

Sequence optimization runs:

• Input and output sequences

• Optimization parameters

• Improvement metrics

Compiler Runs

Automated construct design:

• Input sequences

• Generated constructs

• Configuration used

Runs List

The runs view shows:

Column	Description
Name	Run identifier or construct name
Type	Simulation, Optimization, Compiler
Status	Running, Completed, Failed
Created	When the run started
Duration	How long it took

Filtering Runs

Filter by:

• Type: Simulation, Codon Optimization, etc.

• Status: Completed, Running, Failed

• Date range: Recent, custom range

• Created by: Your runs or all workspace runs

Sorting

Sort by:

• Date (newest/oldest)

• Name

• Status

• Duration

Run Details

Click a run to view details:

Summary

• Run type and status

• Input construct/sequence

• Parameters used

• Completion time

Results

• Predictions and outputs

• Visualizations

• Generated files

Related Items

• Source construct

• Output constructs

• Linked runs

Managing Runs

Delete Runs

1. Select runs

2. Click Delete

3. Confirm deletion

Note: Deleting a run doesn't delete associated constructs.

Export Results

1. Open run details

2. Click Export

3. Choose format (CSV, JSON)

4. Download results

Notifications

Run Completion

Get notified when runs complete:

• Notification bell in header

• Dashboard notifications panel

Configuring Notifications

Adjust notification preferences in Settings.

Troubleshooting

Run Failed

Check:

• Input sequence validity

• Parameter configuration

• System status

Run Stuck

If a run takes too long:

• Check status periodically

• Contact support if needed

Results Not Appearing

• Refresh the page

• Check run status

• Verify completion notification

Best Practices

Organization

• Use descriptive names for inputs

• Track which runs correspond to which designs

• Clean up old/failed runs periodically

Comparison

• Run same analysis on related constructs

• Use consistent parameters for comparison

• Document significant findings

Documentation

• Note important run results

• Link runs to experimental data

• Share results with team

Next Steps

• Simulation — Run new simulations

• Compiler — Automated design

• Codon Optimization — Optimize sequences