Geneious Biologics

Geneious Biologics is an advanced antibody discovery and analysis platform designed for life sciences researchers who need to extract maximum value from complex molecular datasets. As part of the Dotmatics ecosystem, it provides powerful analytics and intuitive visualizations for a wide range of antibody-like molecules — from Sanger to next-generation sequencing (NGS) to single-cell data — all within a single collaborative workspace.

The Geneious Biologics integration connects directly with Dotmatics data, enabling researchers to accelerate candidate selection, improve data quality, and drive data-driven insights across teams. It is purpose-built for antibody and protein engineering workflows where speed, accuracy, and collaboration are critical.

Core Capabilities

• Annotate and Analyze: Import, assemble, annotate, and analyze all sequence data — regardless of scale — in a single collaborative workspace with intuitive folder-based organization and a seamlessly integrated shared database.
• Identify Statistical Trends: Cluster sequences by regions or clonotype, identify dominant clones, and compare frequencies across samples for efficient and comprehensive analysis.
• Visualize and Discover: Push assay data from Dotmatics to the Geneious Biologics browser, search and filter using powerful queries, and view interactive graphs, trees, and alignments. Build detailed reports with tables, graphs, and comments to unlock valuable insights.
• Increase Collaboration: Search for sequences in a central database, collaborate with team members, and share results. Import and export data seamlessly across the platform.
• Integrated Data Platform: All interactions and changes to data are fully traceable, providing scientists with easy access to all of their data on a secure and reliable cloud computing platform — improving data integrity, usability, and compliance.
• F.A.I.R. Compliant: Built-in reproducibility and replicability by ensuring sequence data is Findable, Accessible, Interoperable, and Reusable, with data created in a standard and reusable format available to every member of the team.

Key Integration Benefits with Dotmatics

• Contextualized Data for Better Decision Making: Connect relevant assay data to sequences in Geneious Biologics so entities can be annotated and analyzed together. Dotmatics dashboards are complemented with detailed sequence analysis capabilities, giving researchers all associated data in the context they need.
• Connected Workflows for Improved Productivity: Antibody assay data is sent automatically to Geneious Biologics, streamlining the association of assay data with sequence data and accelerating candidate selection. This reduces time spent collating data and minimizes the risk of inadvertent errors.
• Streamlined Registration for Maximum Data Quality: Replace manual data transfers with programmatic exchange of data and sequence annotations. Researchers can register single or multiple antibody sequences directly into the Dotmatics biological registration system, with annotations calculated in Geneious Biologics included in the registration records.

Why Scientists Choose Geneious Biologics

• Access to industry-leading algorithms, powerful analyses, and superior annotations that save hours in the lab.
• Ability to create high-quality libraries and select optimal therapeutic candidates.
• Seamless sharing of insights with other researchers across the team.
• Superb flexibility enabling the development of bespoke workflows for data processing and analysis, making it a one-stop destination for any type of antibody sequencing data analysis.

Geneious Biologics is available as part of the broader Dotmatics Scientific Intelligence Platform, which also includes Geneious Luma — an integrated solution combining Geneious Prime and Geneious Biologics with Luma's adaptive workflows for accelerated antibody discovery, sequence analysis, construct design, and lab execution. The platform supports cloud-based deployment and is designed to meet data compliance requirements through full traceability and F.A.I.R. data principles.