Services
Discover Biological Insight with TraitSeq
TraitSeq helps organisations uncover how biological inputs influence complex biological systems, transforming multi-omics data into clear evidence of product performance and mode of action.
You can access TraitSeq technology and expertise in two ways:
Platform – Analyse your omics datasets to uncover molecular signatures, biomarkers and biological pathways.
Bespoke Projects – Partner with our scientists to design a tailored project addressing your strategic research questions.
Bespoke Projects: From Question to Insight
Step 1: Define Your Objectives
Generate clear insight into how plants respond to biological inputs to resolve key research questions and confidently support your commercial goals.
Questions we are helping clients to address include:
- How is my product achieving the observed biostimulant effect?
- Why does my product have variable performance across environments? In which environments does it elicit a strong effect?
- How does the bioactivity and mechanism of action of my product compare against alternatives?
- What biomarkers can I use to predict product performance in the field within the lab?
Step 2: Data Collection
To understand how your biological inputs influence plants, you need data that captures the complexity of plant responses—across cultivars, tissues, environmental conditions, and time.
Analyse your existing omics datasets or generate new data through carefully designed trials. TraitSeq has built substantial expertise and know-how in optimising trial design to capture the breadth of critical variables; knowing the tissues and timings that will produce the most revealing data.
Step 3: The Platform
Our platform leverages machine learning to transform multi-omics datasets —including transcriptomics, proteomics and metabolomics—to identify molecular signatures that connect plant responses to environmental conditions, inputs and phenotypic outcomes. The analysis is performed in these phases.
Molecular Signature Analysis – TraitSeq’s powerful analytical platform interrogates the vast omics datasets to identify relevant molecular signatures associated with product-, tissue-, time-, crop-, environment- specific plant responses.
Biomarker discovery – Using machine learning we identify unique biomarkers that reliably indicate stress responses or product efficacy across environments.
Pathway Analysis and Mode of Action Synthesis – TraitSeq’s LLMs integrate public and proprietary gene ontology and functional datasets to interpret these signatures and biomarkers, revealing activated biological pathways and visualising relationships to define product mode of action.
Step 4: The Results
TraitSeq delivers a comprehensive characterisation of your product’s Mode of Action through interactive data, biomarkers, dynamic visualisations and a structured report of findings. Molecular signatures and pathway relationships can be explored interactively and can be compared across products to identify product-specific, overlapping, or complementary biological responses, and relative bioactivity.
Step 5: The Impact
TraitSeq enables faster, more confident product development decisions across the full product development lifecycle:
- Identifying biomarkers to screen candidates for efficacy
- Determining the optimal timing of product application and relevant range of environments to inform user guidelines
- Demonstrating complementary or differentiated modes of action across a portfolio of products.
Across these services, TraitSeq helps demonstrate the credibility of biologicals and strengthen trust in their performance.