Software
Capabilities
We handle the design, development, and deployment of all our solutions to ensure they meet your specific requirements.
We deliver advanced bioinformatics software solutions that are as flexible as they are powerful. Our services are designed to meet the diverse needs of Pharma, Biotech, and Research companies by developing tailored, scalable tools for both cloud and on-premise use.
Our software development capabilities include:
Custom Bioinformatics Pipelines:
We build and optimise bioinformatics workflows using Nextflow, CWL, and Docker to automate and streamline data analysis, ensuring flexibility and efficiency in both cloud and on-premise environments.
Cloud and On-Premise Solutions:
Whether you are dealing with sensitive in-house projects or managing collaborative, large-scale data projects, these solutions are tailored to meet your compliance, security, and data protection needs. They support a range of purposes, including assay development software, end-to-end NGS pipeline orchestration, data analysis, and interactive visualization.
Data Stewardship - Integration, Management, and Optimisation:
We specialize in harmonizing and transforming datasets, utilizing Data Mesh principles and managing large-scale cohorts to help you generate insights more efficiently and make informed decisions.
Data Science, AI & ML: Our expertise in data science, artificial intelligence, and machine learning enables you to extract powerful insights from large-scale biological data, driving predictive modeling, pattern recognition, and advanced analytics for research.
End-to-end product development: From initial research to final product, integrating bioinformatics and biotechnological expertise to streamline the entire process, including drug discovery, diagnostics, and therapeutics.
Example of software capabilities: Target discovery & validation
The ATT is an innovative service that has been meticulously packaged as a product with a clear mission: to validate drug or biomarker targets effectively.
Features:
•Mining valid targets in literature
•Evidence-driven target scoring:
•Disease association
•Expression analysis
•Pathway analysis
•Safety inspection
•Validation existing studies and cohorts
•Target interactive visualization and filtering
•Binding evaluation
•Smart summaries & recommendations
