Analysis

Analysis in the IBIS development pipeline

IBIS research and development spans the full pipeline:

Discovery → Characterization → Fermentation & Formulation → Field Performance

At each stage, analyses are used to:

• Compare strains and treatments
• Quantify robustness and variability
• Identify relationships across traits and stages
• Support prioritization of candidates for progression

A central objective is to link early laboratory observations to downstream fermentation and field performance.

Analytical structure

IBIS analyses are built on a layered structure:

Raw data
Structured entities stored in the relational database, including isolates, experiments, observations, and fermentation runs.

Derived data
Standardized transformations and aggregated metrics generated from raw data. Raw and derived data are maintained separately to ensure data integrity and reproducibility.

Visualization and exploration
Interactive dashboards enable filtering, comparison, and trend analysis across datasets.

This structure ensures that analyses are transparent, reproducible, and automatically updated as validated data are added.

Embedded dashboards

This page provides access to selected IBIS dashboards (read-only).

Examples include:

• Lab-to-field performance relationships
• Assay result distributions
• Fermentation and stability metrics
• Pipeline key performance indicators

Dashboards reflect the current state of the underlying data in the database.

Reproducibility and traceability

Each analysis is linked to:

• The underlying datasets
• Relevant protocol versions

This enables traceability across the IBIS Knowledge Base, from experimental design to data interpretation, and supports long-term knowledge preservation within IBIS.

Relation to other pages

Protocols: Explain how data are generated.
Data: Explain how data are structured and stored.
Analysis: Describes how data are interpreted and explored.

Together, these elements form the analytical layer of the IBIS Knowledge Base.