Geneious Prime

Geneious Prime is an industry-leading bioinformatics software platform designed for biotech researchers and life scientists who need powerful sequence analysis, advanced visualizations, and streamlined workflow automation. Through its integration with the Dotmatics biological registration system, Geneious Prime enables thousands of global biotech leaders to enhance their sequence analysis processes, simplify entity registration, and accelerate data-driven drug discovery.

The integration between Geneious Prime and Dotmatics brings together best-in-class bioinformatics capabilities and a centralized biological registration database, allowing research teams to collaborate more effectively, protect critical intellectual property, and maintain high data quality — all within a unified platform.

Core Workflow Capabilities

• Streamlined sequence workflows: Researchers can share design outputs, advanced analysis results, and other critical information with colleagues directly from Geneious Prime, reducing friction across collaborative research efforts.
• Direct access to biological registration: By connecting to the Dotmatics biological registration database, researchers can simplify entity registration and focus more time on science rather than administrative data handling.
• Single and batch sequence registration: Users can register one or multiple sequences into the Dotmatics biological registration system directly from Geneious Prime, reducing error-prone manual data entry.
• Centralized IP protection: Important sequence information is captured into a centralized database, safeguarding key intellectual property and ensuring critical research data is secure and accessible only to authorized team members.

Key Features and Benefits

• Increased collaboration: Intuitive folder-based organization and a seamlessly integrated shared database transform how teams register, share, and work with sequence data across the organization.
• Central repository: Sequence data management and analysis are centralized in one platform, allowing researchers to store and organize sequences alongside analysis results and NCBI data.
• Ease of use: An intuitive, user-friendly interface transforms raw sequence data into meaningful visualizations, enabling scientists to analyze their own data without outsourcing to external stakeholders.
• Custom workflows: Researchers can create automated workflows, extend functionality with plugins, integrate with existing systems, and add custom algorithms — increasing efficiency, controlling business processes, and reducing human error.
• Integrated data platform: A single sign-on authentication system ensures all interactions and changes to data are fully traceable, eliminating manual copy-and-paste from sequence spreadsheets and improving data integrity, usability, and compliance.
• F.A.I.R. compliance: Geneious Prime is built with reproducibility and replicability in mind, ensuring sequence data is Findable, Accessible, Interoperable, and Reusable — making all sequence data available to every member of the team in a standardized, reusable format.

Why Researchers Choose Geneious Prime via Dotmatics

• Access to industry-leading algorithms that save researchers hours in the lab during sequence design and analysis.
• Powerful analytical tools and superior visualizations that help teams gain and share critical scientific insights.
• Collaborative sequence analysis capabilities that allow entire research teams to work together toward shared results.
• Recognized by researchers such as Dr. Joshua Udall of Brigham Young University as "the perfect combination of ease-of-use and bioinformatic refinement" for plant and wildlife science applications.

Geneious Prime is available as part of the broader Dotmatics Scientific Intelligence Platform, which supports multimodal scientific discovery across biology, chemistry, and beyond. The integration supports single sign-on authentication, full data traceability, and F.A.I.R.-compliant data practices, making it well-suited for regulated and compliance-conscious research environments.