Recommendation Algorithm

How we evaluate and calculate the most suitable phage gene editing techniques for your project

Evaluation Criteria

Our recommendation system evaluates multiple factors to determine the most suitable phage gene editing techniques for your specific project. Each technique is scored across several dimensions:

Evaluation criteria for phage editing techniques
CriterionDescriptionWeight
Technical SuitabilityHow well the technique aligns with the specific modifications needed30%
Resource CompatibilityWhether the technique can be implemented with available resources25%
Experience Level MatchAppropriateness based on user's experience with phage engineering15%
Timeline FeasibilityWhether the technique can be completed within the project timeline15%
Budget AlignmentCost-effectiveness relative to the available budget10%
Target Bacteria CompatibilityHistorical success with the specified bacterial target5%

Calculation Methodology

Our algorithm calculates a weighted score for each phage editing technique based on your questionnaire responses. Here's how the process works:

Step 1: Initial Filtering

First, we filter out techniques that are fundamentally incompatible with your project requirements. For example:

  • If you need to make extensive genomic modifications but a technique only supports small changes, it's filtered out
  • If a technique requires specialized equipment you don't have access to, it's filtered out
  • If a technique cannot be completed within your timeline constraints, it's filtered out

Step 2: Scoring Each Technique

For each remaining technique, we calculate a score for each evaluation criterion:

TechniqueTotalScore = Σ (CriterionScore × CriterionWeight)

Where:

  • CriterionScore is a value between 0-100
  • CriterionWeight is the percentage weight from the table above

Step 3: Ranking and Classification

Based on the total scores, techniques are ranked and classified into suitability categories:

  • Very High Suitability: Score ≥ 85
  • High Suitability: Score 70-84
  • Medium Suitability: Score 50-69
  • Low Suitability: Score < 50

Step 4: Contextual Adjustments

Final adjustments are made based on specific project contexts:

  • Techniques particularly well-suited for specific modifications (e.g., Tail Fiber Engineering for host range expansion) receive bonus points for those applications
  • Techniques with proven success for specific bacterial targets receive bonus points
  • For beginners, techniques with lower complexity and better documentation receive bonus points

How Your Inputs Affect Recommendations

Project Type Impact

Different project types have distinct requirements that influence technique recommendations:

Project TypeFavored TechniquesRationale
Phage Therapy DevelopmentCRISPR-Cas Systems, Homologous RecombinationPrecision and safety are paramount for therapeutic applications
Diagnostic Tool DevelopmentReporter Gene Integration, Bacteriophage RecombineeringReliable expression of reporter genes is critical
Biocontrol ApplicationHost Range Expansion, Tail Fiber EngineeringTargeting specific bacterial populations is essential
Basic ResearchAll techniques considered equallyDepends more on specific research questions
Industrial ApplicationYeast-Based Assembly, In Vitro AssemblyScalability and reproducibility are key factors

Decision Tree Example

Here's a simplified example of how our algorithm might process a specific set of inputs:

Example Scenario

Project Type: Phage Therapy Development

Target Bacteria: Pseudomonas aeruginosa

Desired Modifications: Host Range Expansion, Enhanced Lytic Activity

Resources: Basic Molecular Biology Lab, Next-Generation Sequencing Access

Experience Level: Intermediate

Timeline: Medium-term (3-6 months)

Budget: Moderate ($10,000-$50,000)

Decision Process:

  1. Initial Filtering: Yeast-Based Assembly is filtered out due to lack of advanced genetic engineering facilities
  2. Scoring:
    • CRISPR-Cas Systems: 82 points (High Suitability)
    • Tail Fiber Engineering: 78 points (High Suitability)
    • Bacteriophage Recombineering: 65 points (Medium Suitability)
    • Homologous Recombination: 60 points (Medium Suitability)
    • In Vitro Assembly: 45 points (Low Suitability)
  3. Contextual Adjustments:
    • Tail Fiber Engineering receives +10 points for host range expansion focus
    • CRISPR-Cas receives +5 points for P. aeruginosa compatibility
  4. Final Recommendations:
    • Tail Fiber Engineering: 88 points (Very High Suitability)
    • CRISPR-Cas Systems: 87 points (Very High Suitability)
    • Bacteriophage Recombineering: 65 points (Medium Suitability)